1) open a BMP file, change the gray values ​ ​ of its local area, and save it as a BMP file, the request shows the original BMP images and BMP images. 2. Programming image Fourier high-pass, low-pass filtering. 3 Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filter, K adjacent average method for smoothing 4 Open an image using the Roberts gradient method, Sobel operators and Laplacian sharpening for, and compare the results. 5 to write a program, Huffman coding of the input image, the display of the original image entropy, and the average code word length of the encoded, and be able to reconstruct the image according to the coding 6. Generate a rectangle in the image, and then use the template matching method to identify the position of the rectangle. Using SSDA or improved SSDA method.

源代码\huffenco.m
......\image1.bmp
......\image1_gray.bmp
......\image1_gray_1.bmp
......\image1_gray_2.bmp
......\shuzituxiang_1.m
......\shuzituxiang_21.m
......\shuzituxiang_22.m
......\shuzituxiang_23.m
......\shuzituxiang_31.m
......\shuzituxiang_32.m
......\shuzituxiang_33.m
......\shuzituxiang_4 .m
......\shuzituxiang_5.m
源代码

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