关于matlab的mean函数的一个小问题

2014-12-23 08:17:32 271 阅读 AI 写同款 · GEO 优化AI 选题数据监测一键分发 ›

首先看下图像处理的gabor变换代码。



for count = 1:len

    I=imread(files(count,1).name);

   gI  = rgb2gray(I) ;

   % gabor滤波

   %对每一个图像分别计算4*4个gabor滤波器的3个特征

    for i =1:4  %gabor滤波器方向

        for j = 1:4  %gabor滤波器尺度

            [G , gabout] = gaborfilter(gI,4,4,i*0.25*pi,2*j);

            J = fft2(gabout);

            A = double(J);

            [m1,n1] = size(A) ;

            B = A ;

            C = zeros(m1,n1);

            for i1 = 1:m1-1

                for j1 = 1:n1-1

                    B(i1,j1) = A(i1+1,j1+1);

                    C(i1,j1) = abs(round(A(i1,j1)-B(i1,j1))) ;

                end     

            end

            h = imhist(mat2gray(C))/(m1*n1);

            mean = 0; con = 0; ent = 0;

            for i2 = 1:256

                mean = mean+(i2*h(i2))/256;

                con = con + i2*i2*h(i2) ; 

                if(h(i2)>0)

                    ent = ent - h(i2)*log2(h(i2));

                end

            end

            

            gbFt(i,j,1) = mean;

            gbFt(i,j,2) = con;           

            gbFt(i,j,3) = ent;   

        end

    end

     avg_gbFt(count,1) = mean2(gbFt(:,:,1));  %gabor 均值

     avg_gbFt(count,2) = mean2(gbFt(:,:,2));  %gabor 对比度

     avg_gbFt(count,3) = mean2(gbFt(:,:,3)); %gabor 熵

end

      mean_gbFt = mean(avg_gbFt);