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feature_Idiap.m
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function featuresIdiap = feature_Idiap(iterCntIdiaptrain, iterCntIdiaptest, varargin )
% clear all;
% close all;
% varargin = {'distortion', 'glcm', 'visualRhythmHori', 'visualRhythm'};
% varargin = {'distortion', 'glcm', 'lbpU8'};
% varargin = {'lbpU8', 'diffusionWeightOverlapLBP'};
% varargin = {'distortion', 'glcm'};
% train: attack_highdef_client108_session01_highdef_photo_controlled 가 수상하다
%% init
setDir = fullfile(cd, 'imageDatabases', 'Idiap');
numFrames = 30;
numTotalFeatures = 0;
numCurrentFeatures = 0;
distortionFeatureFlag = 0;
glcmFeatureFlag = 0;
visualRhythmHoriFlag = 0;
overlapJPGLBPFlag = 0; % lbp uniform 8 Flag
mappingU8=getmapping(8,'u2');
lbpU16Flag = 0; % lbp uniform 16 Flag
mappingU16=getmapping(16,'u2');
lbpU8FourierFlag = 0; % lbp uniform 8 for fourier spectrum Flag
diffusionWeightLbpU8Flag = 0;
diffusionWeightOverlapLBPFlag = 0;
ligRmvPpmLBPFlag = 0;
ligRmvPpmDistortionFlag = 0;
ligRmvPpmGlcmFlag = 0;
cutTop = 0;
cutBottom = 0;
paraStr = '';
%% parameter setting
for i = 1 : length(varargin),
paraStr = strcat(paraStr, '_', varargin{i});
end
if ~isempty(strfind(paraStr,'distortion'))
distortionFeatureFlag = 1;
numTotalFeatures = numTotalFeatures + 115;
end
if ~isempty(strfind(paraStr,'glcm'))
glcmFeatureFlag = 1;
numTotalFeatures = numTotalFeatures + 88;
end
if ~isempty(strfind(paraStr,'visualRhythmHori'))
visualRhythmHoriFlag = 1;
numTotalFeatures = numTotalFeatures + 3600;
end
if ~isempty(strfind(paraStr,'overlapJPGLBP'))
overlapJPGLBPFlag = 1;
numTotalFeatures = numTotalFeatures + 833;
end
if ~isempty(strfind(paraStr,'lbpU8Fourier'))
lbpU8FourierFlag = 1;
numTotalFeatures = numTotalFeatures + 59;
end
if ~isempty(strfind(paraStr,'lbpU16'))
lbpU16Flag = 1;
numTotalFeatures = numTotalFeatures + 243;
end
if ~isempty(strfind(paraStr,'diffusionWeightOverlapLBP'))
diffusionWeightOverlapLBPFlag = 1;
numTotalFeatures = numTotalFeatures + 833;
end
if ~isempty(strfind(paraStr,'ligRmvPpmLBP'))
ligRmvPpmLBPFlag = 1;
numTotalFeatures = numTotalFeatures + 833;
end
if ~isempty(strfind(paraStr,'ligRmvPpmDistortion'))
ligRmvPpmDistortionFlag = 1;
numTotalFeatures = numTotalFeatures + 115;
end
if ~isempty(strfind(paraStr,'ligRmvPpmGlcm'))
ligRmvPpmGlcmFlag = 1;
numTotalFeatures = numTotalFeatures + 88;
end
trainPath = fullfile('imageDatabases', 'Idiap', 'train');
testPath = fullfile('imageDatabases', 'Idiap', 'test');
% 60 (categories) * 50 (each video is selected only 50 frames)
trainGenuine = zeros( 60*numFrames, numTotalFeatures );
% fixed 60, hand 60 1video가 없음
trainReplay = zeros( (60+60-1)*numFrames, numTotalFeatures );
% fixed 90, hand 90 1 video가 없음
trainPrinted = zeros( (90+90-1)*numFrames, numTotalFeatures );
% 80 (categories) * 50 (each video is selected only 50 frames)
testGenuine = zeros( 80*numFrames, numTotalFeatures );
% fixed 80, hand 80
testReplay = zeros( (80+80)*numFrames, numTotalFeatures );
% fixed 120, hand 120
testPrinted = zeros( (120+120)*numFrames, numTotalFeatures );
trainDir= dir([trainPath '\*.jpg']);
% trainDir= dir([trainPath '\*_LigRmv.ppm']);
trainFileNames = {trainDir.name};
testDir= dir([testPath '\*.jpg']);
% testDir= dir([testPath '\*_LigRmv.ppm']);
testFileNames = {testDir.name};
numCurrentGenRow = 0;
numCurrentPriRow = 0;
numCurrentRepRow = 0;
%% extrcat train feature
if distortionFeatureFlag || glcmFeatureFlag || visualRhythmHoriFlag || overlapJPGLBPFlag || lbpU8FourierFlag || lbpU16Flag || diffusionWeightOverlapLBPFlag,
for i = 1:size(trainFileNames, 2),
numCurrentGenFeatures = 0;
numCurrentPriFeatures = 0;
numCurrentRepFeatures = 0;
I = imread(strcat(trainPath, '\', trainFileNames{i}));
I = cutImage(I, cutTop, cutBottom);
ind=find(ismember(iterCntIdiaptrain(:, 1), strrep(trainFileNames{i}, '.jpg', '.ppm')));
ligRmvCnt = iterCntIdiaptrain{ind,2};
if ligRmvCnt <= 3,
iterCntDW = 8;
elseif ligRmvCnt <= 6,
iterCntDW = 7;
elseif ligRmvCnt <= 9,
iterCntDW = 6;
else
iterCntDW = 5;
end
if ~isempty(strfind(trainFileNames{i},'authenticate')), % genuine
numCurrentGenRow = numCurrentGenRow + 1;
if distortionFeatureFlag,
% blurriness features
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
trainGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(blurriness))) = blurriness;
numCurrentGenFeatures = numCurrentGenFeatures + length(blurriness);
trainGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentGenFeatures = numCurrentGenFeatures + length(nonRefBlurriness);
trainGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(chromatic))) = chromatic;
numCurrentGenFeatures = numCurrentGenFeatures + length(chromatic);
trainGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(diversity))) = diversity;
numCurrentGenFeatures = numCurrentGenFeatures + length(diversity);
end
% glcm features
if glcmFeatureFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
end
% visual rhythm features
if visualRhythmHoriFlag,
visualRhythmFeatures = visualRhythm(I(:, :, 1));
horiReshape = reshape(visualRhythmFeatures.horizontalLine', 1, []);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(horiReshape))) = horiReshape;
numCurrentGenFeatures = numCurrentGenFeatures + length(horiReshape);
end
% lbp uniform 8 features
if overlapJPGLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16 );
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
if lbpU8FourierFlag,
F = fourierSpectrum(I(:, :, 1), 'noiseMode', 'median', 7);
lbpFeatures = lbp(F,1,8,mappingU8,'nh');
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
% lbp uniform 16 features
if lbpU16Flag,
lbpFeatures = lbp(I,2,16,mappingU16,'nh');
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
% lbp diffusion weight uniform 8 features
if diffusionWeightOverlapLBPFlag,
lbpFeatures = diffusionWeightLBP(I, 1, 8, mappingU8, mappingU16, iterCntDW);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
elseif ~isempty(strfind(trainFileNames{i},'photo')), % photo
numCurrentPriRow = numCurrentPriRow + 1;
if distortionFeatureFlag,
% blurriness features
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
trainPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(blurriness))) = blurriness;
numCurrentPriFeatures = numCurrentPriFeatures + length(blurriness);
trainPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentPriFeatures = numCurrentPriFeatures + length(nonRefBlurriness);
trainPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(chromatic))) = chromatic;
numCurrentPriFeatures = numCurrentPriFeatures + length(chromatic);
trainPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(diversity))) = diversity;
numCurrentPriFeatures = numCurrentPriFeatures + length(diversity);
end
% glcm features
if glcmFeatureFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
end
% visual rhythm features
if visualRhythmHoriFlag,
visualRhythmFeatures = visualRhythm(I(:, :, 1));
horiReshape = reshape(visualRhythmFeatures.horizontalLine', 1, []);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(horiReshape))) = horiReshape;
numCurrentPriFeatures = numCurrentPriFeatures + length(horiReshape);
end
% lbp uniform 8 features
if overlapJPGLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16 );
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
if lbpU8FourierFlag,
F = fourierSpectrum(I(:, :, 1), 'noiseMode', 'median', 7);
lbpFeatures = lbp(F,1,8,mappingU8,'nh');
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
% lbp uniform 16 features
if lbpU16Flag,
lbpFeatures = lbp(I,2,16,mappingU16,'nh');
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
% lbp diffusion weight uniform 8 features
if diffusionWeightOverlapLBPFlag,
lbpFeatures = diffusionWeightLBP(I, 1, 8, mappingU8, mappingU16, iterCntDW);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
elseif ~isempty(strfind(trainFileNames{i},'video')), % replay
numCurrentRepRow = numCurrentRepRow + 1;
if distortionFeatureFlag,
% blurriness features
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
trainReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(blurriness))) = blurriness;
numCurrentRepFeatures = numCurrentRepFeatures + length(blurriness);
trainReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentRepFeatures = numCurrentRepFeatures + length(nonRefBlurriness);
trainReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(chromatic))) = chromatic;
numCurrentRepFeatures = numCurrentRepFeatures + length(chromatic);
trainReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(diversity))) = diversity;
numCurrentRepFeatures = numCurrentRepFeatures + length(diversity);
end
% glcm features
if glcmFeatureFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
end
% visual rhythm features
if visualRhythmHoriFlag,
visualRhythmFeatures = visualRhythm(I(:, :, 1));
horiReshape = reshape(visualRhythmFeatures.horizontalLine', 1, []);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(horiReshape))) = horiReshape;
numCurrentRepFeatures = numCurrentRepFeatures + length(horiReshape);
end
% lbp uniform 8 features
if overlapJPGLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16 );
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentRepFeatures = numCurrentRepFeatures + length(lbpFeatures);
end
if lbpU8FourierFlag,
F = fourierSpectrum(I(:, :, 1), 'noiseMode', 'median', 7);
lbpFeatures = lbp(F,1,8,mappingU8,'nh');
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentRepFeatures = numCurrentRepFeatures + length(lbpFeatures);
end
% lbp uniform 16 features
if lbpU16Flag,
lbpFeatures = lbp(I,2,16,mappingU16,'nh');
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentRepFeatures = numCurrentRepFeatures + length(lbpFeatures);
end
% lbp diffusion weight uniform 8 features
if diffusionWeightOverlapLBPFlag,
lbpFeatures = diffusionWeightLBP(I, 1, 8, mappingU8, mappingU16, iterCntDW);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentRepFeatures = numCurrentRepFeatures + length(lbpFeatures);
end
end
end
end
%% ppm extract training feature
if ligRmvPpmLBPFlag || ligRmvPpmDistortionFlag || ligRmvPpmGlcmFlag,
trainLigRmvDir= dir([trainPath '\*_LigRmv.ppm']);
trainLigRmvNames = {trainLigRmvDir.name};
for i = 1:size(trainLigRmvNames, 2),
numCurrentGenFeatures = 0;
numCurrentPriFeatures = 0;
numCurrentRepFeatures = 0;
I = imread(strcat(trainPath, '\', trainLigRmvNames{i}));
I = cutImage(I, cutTop, cutBottom);
if ~isempty(strfind(trainFileNames{i},'authenticate')), % genuine
numCurrentGenRow = numCurrentGenRow + 1;
if ligRmvPpmDistortionFlag,
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
trainGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(blurriness))) = blurriness;
numCurrentGenFeatures = numCurrentGenFeatures + length(blurriness);
trainGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentGenFeatures = numCurrentGenFeatures + length(nonRefBlurriness);
trainGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(chromatic))) = chromatic;
numCurrentGenFeatures = numCurrentGenFeatures + length(chromatic);
trainGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(diversity))) = diversity;
numCurrentGenFeatures = numCurrentGenFeatures + length(diversity);
end
if ligRmvPpmGlcmFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
end
if ligRmvPpmLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16 );
trainGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
elseif ~isempty(strfind(trainFileNames{i},'photo')), % photo
numCurrentPriRow = numCurrentPriRow + 1;
if ligRmvPpmDistortionFlag,
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
trainPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(blurriness))) = blurriness;
numCurrentPriFeatures = numCurrentPriFeatures + length(blurriness);
trainPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentPriFeatures = numCurrentPriFeatures + length(nonRefBlurriness);
trainPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(chromatic))) = chromatic;
numCurrentPriFeatures = numCurrentPriFeatures + length(chromatic);
trainPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(diversity))) = diversity;
numCurrentPriFeatures = numCurrentPriFeatures + length(diversity);
end
if ligRmvPpmGlcmFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
end
if ligRmvPpmLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16);
trainPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
elseif ~isempty(strfind(trainFileNames{i},'video')), % replay
numCurrentRepRow = numCurrentRepRow + 1;
if ligRmvPpmDistortionFlag,
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
trainReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(blurriness))) = blurriness;
numCurrentRepFeatures = numCurrentRepFeatures + length(blurriness);
trainReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentRepFeatures = numCurrentRepFeatures + length(nonRefBlurriness);
trainReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(chromatic))) = chromatic;
numCurrentRepFeatures = numCurrentRepFeatures + length(chromatic);
trainReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(diversity))) = diversity;
numCurrentRepFeatures = numCurrentRepFeatures + length(diversity);
end
if ligRmvPpmGlcmFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
end
if ligRmvPpmLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16);
trainReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentRepFeatures = numCurrentRepFeatures + length(lbpFeatures);
end
end
end
end
numCurrentGenRow = 0;
numCurrentPriRow = 0;
numCurrentRepRow = 0;
%% extrcat test feature
if distortionFeatureFlag || glcmFeatureFlag || visualRhythmHoriFlag || overlapJPGLBPFlag || lbpU8FourierFlag || lbpU16Flag || diffusionWeightOverlapLBPFlag,
for i = 1:size(testFileNames, 2),
numCurrentGenFeatures = 0;
numCurrentPriFeatures = 0;
numCurrentRepFeatures = 0;
I = imread(strcat(testPath, '\', testFileNames{i}));
I = cutImage(I, cutTop, cutBottom);
ind=find(ismember(iterCntIdiaptest(:, 1), strrep(testFileNames{i}, '.jpg', '.ppm')));
ligRmvCnt = iterCntIdiaptest{ind,2};
if ligRmvCnt <= 3,
iterCntDW = 8;
elseif ligRmvCnt <= 6,
iterCntDW = 7;
elseif ligRmvCnt <= 9,
iterCntDW = 6;
else
iterCntDW = 5;
end
if ~isempty(strfind(testFileNames{i},'authenticate')), % genuine
numCurrentGenRow = numCurrentGenRow + 1;
if distortionFeatureFlag,
% blurriness features
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
testGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(blurriness))) = blurriness;
numCurrentGenFeatures = numCurrentGenFeatures + length(blurriness);
testGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentGenFeatures = numCurrentGenFeatures + length(nonRefBlurriness);
testGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(chromatic))) = chromatic;
numCurrentGenFeatures = numCurrentGenFeatures + length(chromatic);
testGenuine( numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(diversity))) = diversity;
numCurrentGenFeatures = numCurrentGenFeatures + length(diversity);
end
% glcm features
if glcmFeatureFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentGenFeatures = numCurrentGenFeatures + length(glcmFeatures');
end
% visual rhythm features
if visualRhythmHoriFlag,
visualRhythmFeatures = visualRhythm(I(:, :, 1));
horiReshape = reshape(visualRhythmFeatures.horizontalLine', 1, []);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(horiReshape))) = horiReshape;
numCurrentGenFeatures = numCurrentGenFeatures + length(horiReshape);
end
% lbp uniform 8 features
if overlapJPGLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16 );
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
if lbpU8FourierFlag,
F = fourierSpectrum(I(:, :, 1), 'noiseMode', 'median', 7);
lbpFeatures = lbp(F,1,8,mappingU8,'nh');
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
% lbp uniform 16 features
if lbpU16Flag,
lbpFeatures = lbp(I,2,16,mappingU16,'nh');
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
% lbp diffusion weight uniform 8 features
if diffusionWeightOverlapLBPFlag,
lbpFeatures = diffusionWeightLBP(I, 1, 8, mappingU8, mappingU16, iterCntDW);
testGenuine(numCurrentGenRow, (numCurrentGenFeatures+1) : (numCurrentGenFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentGenFeatures = numCurrentGenFeatures + length(lbpFeatures);
end
elseif ~isempty(strfind(testFileNames{i},'photo')), % photo
numCurrentPriRow = numCurrentPriRow + 1;
if distortionFeatureFlag,
% blurriness features
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
testPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(blurriness))) = blurriness;
numCurrentPriFeatures = numCurrentPriFeatures + length(blurriness);
testPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentPriFeatures = numCurrentPriFeatures + length(nonRefBlurriness);
testPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(chromatic))) = chromatic;
numCurrentPriFeatures = numCurrentPriFeatures + length(chromatic);
testPrinted( numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(diversity))) = diversity;
numCurrentPriFeatures = numCurrentPriFeatures + length(diversity);
end
% glcm features
if glcmFeatureFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentPriFeatures = numCurrentPriFeatures + length(glcmFeatures');
end
% visual rhythm features
if visualRhythmHoriFlag,
visualRhythmFeatures = visualRhythm(I(:, :, 1));
horiReshape = reshape(visualRhythmFeatures.horizontalLine', 1, []);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(horiReshape))) = horiReshape;
numCurrentPriFeatures = numCurrentPriFeatures + length(horiReshape);
end
% lbp uniform 8 features
if overlapJPGLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16 );
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
if lbpU8FourierFlag,
F = fourierSpectrum(I(:, :, 1), 'noiseMode', 'median', 7);
lbpFeatures = lbp(F,1,8,mappingU8,'nh');
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
% lbp uniform 16 features
if lbpU16Flag,
lbpFeatures = lbp(I,2,16,mappingU16,'nh');
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
% lbp diffusion weight uniform 8 features
if diffusionWeightOverlapLBPFlag,
lbpFeatures = diffusionWeightLBP(I, 1, 8, mappingU8, mappingU16, iterCntDW);
testPrinted(numCurrentPriRow, (numCurrentPriFeatures+1) : (numCurrentPriFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentPriFeatures = numCurrentPriFeatures + length(lbpFeatures);
end
elseif ~isempty(strfind(testFileNames{i},'video')), % replay
numCurrentRepRow = numCurrentRepRow + 1;
if distortionFeatureFlag,
% blurriness features
blurriness = blurMetric(I);
nonRefBlurriness = noRefferencePerceptualBlurMetric(I(:, :, 1));
% Chromatic Moment Features
chromatic = chromaticMomentFeatures(I);
% color diversity features
diversity = colorDiversity(I);
testReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(blurriness))) = blurriness;
numCurrentRepFeatures = numCurrentRepFeatures + length(blurriness);
testReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(nonRefBlurriness))) = nonRefBlurriness;
numCurrentRepFeatures = numCurrentRepFeatures + length(nonRefBlurriness);
testReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(chromatic))) = chromatic;
numCurrentRepFeatures = numCurrentRepFeatures + length(chromatic);
testReplay( numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(diversity))) = diversity;
numCurrentRepFeatures = numCurrentRepFeatures + length(diversity);
end
% glcm features
if glcmFeatureFlag,
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [-1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [0 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 0] );
glcmFeatures = GLCMFeatures(glcm, 16);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
glcm = graycomatrix( I(:, :, 1), 'NumLevels', 16, 'offset', [1 -1] );
glcmFeatures = GLCMFeatures(glcm, 16);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(glcmFeatures'))) = glcmFeatures';
numCurrentRepFeatures = numCurrentRepFeatures + length(glcmFeatures');
end
% visual rhythm features
if visualRhythmHoriFlag,
visualRhythmFeatures = visualRhythm(I(:, :, 1));
horiReshape = reshape(visualRhythmFeatures.horizontalLine', 1, []);
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(horiReshape))) = horiReshape;
numCurrentRepFeatures = numCurrentRepFeatures + length(horiReshape);
end
% lbp uniform 8 features
if overlapJPGLBPFlag,
lbpFeatures = overlapLBP( I(:, :, 1), mappingU8, mappingU16 );
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentRepFeatures = numCurrentRepFeatures + length(lbpFeatures);
end
if lbpU8FourierFlag,
F = fourierSpectrum(I(:, :, 1), 'noiseMode', 'median', 7);
lbpFeatures = lbp(F,1,8,mappingU8,'nh');
testReplay(numCurrentRepRow, (numCurrentRepFeatures+1) : (numCurrentRepFeatures + length(lbpFeatures))) = lbpFeatures;
numCurrentRepFeatures = numCurrentRepFeatures + length(lbpFeatures);
end