to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expression for M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the execution now compare our special 8X8 functi

awimg=rgb2gray(im1) tic [accum, circen, cirrad] = CircularHough_Grd(rawimg, [20 30],5,50) circen toc figure(1) imagesc(accum) axis image title( Accumulation Array from Circular Hough Transform ) figure(2) imagesc(rawimg) co

采用图像小波变换后的统计特征对图像进行匹配识别。实现函数knnfunc（）-USES the statistical characteristics of image after the wavelet transform of image matching identification. Implement function knnfunc ()