dip-project

demand of the project

Course Project 5-Hand A picture of a hand is given as follows (image file name: hand.jpg). ① Convert the original image to HSV color space. ② Initially locate the hand area according to the threshold in the HSV color space. ③ Use morphological operations or preprocessing methods to denoise and remove holes in the positioned area. ④ Display the extracted hand picture in the program, and calculate the average RGB color value of the skin color area according to the pixel values in the extracted hand area, and output the result. ⑤ Tip: The HSV color range of the skin tone area is generally between [0, 20, 70] and [20, 255, 255]. You can also use your own picture to achieve the effect in the example. The code language used is python, and C++ is also acceptable. Requirements: The course report needs to give thought analysis, algorithm steps, code screenshots, and display of processing results.