代码搜索结果

%图像的单帧显示 %调用cat函数将两幅灰度图像合并成一个具有两帧的图像阵列，然后再调用 %imshow函数来显示第一帧图像 lena=imread('LENA256.bmp'); girl=imread('Girl.bmp'); A=cat(3, lena, girl); imshow(A(:,:,2))

%频率采样法 Hd = zeros(11,11); Hd(4:8,4:8) = 1; [f1,f2] = freqspace(11,'meshgrid'); mesh(f1,f2,Hd), axis([-1 1 -1 1 0 1.2]), colormap(jet(64)) h = fsamp2(Hd); figure, freqz2(h,[32 32]), axis([-1 1 -1

BW1 = imread('circbw.tif'); BW2 = bwperim(BW1); imshow(BW1) figure, imshow(BW2)

%%%% 5－2－2－2 winner滤波法实现降噪的源程序如下： clear all; I=imread('E:\temp\pinghualvboyuantu.bmp'); %原始图像读入 imshow(I) %原始图像显示 K1=wiener2(I,[3,3]); %3×3winner滤波 K2=wiener2(I,[5,5]); %5×5winner滤波 K3=wie

I = imread('cameraman.tif'); I = im2double(I); T = dctmtx(8); %产生DCT变换矩阵 B = blkproc(I,[8 8],'P1*x*P2',T,T'); %计算二维DCT mask = [1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0

#include struct Point { float x, y; }; class Quadrangle { public: Point Points[4]; public: void Print() { cout