代码搜索结果

I = imread('saturn.tif'); J = imnoise(I,'gaussian', 0,0.005); figure,imshow(J) h = fspecial('gaussian'); K=filter2(h,J)/255; figure,imshow(K)

I = imread('ngc4024m.tif'); X = grayslice(I,16); imshow(I) figure, imshow(X,hot(16))

I=imread('rice.tif'); imshow(I,20)

%用原图像与压缩后的图像相减 I = imread('cameraman.tif'); I = double(I)/255; %计算离散变换矩阵，返回结果为双精度型 T = dctmtx(8); %实现图像的显示块操作 B = blkproc(I,[8 8],'P1*x*P2',T,T'); mask =[1 1 1 1 0 0 0 0 1 1 1 0 0 0

I = imread('rice.tif'); BW = roicolor(I,150,200); imshow(I); figure; imshow(BW)

%对前面得到的cameraman.tif的二值化图像进行腐蚀操作 I=imread('cameraman.tif'); figure,imshow(I) J=im2bw(I); figure,imshow(J) SE=eye(5); BW1=erode(J,SE); figure,imshow(BW1)

%首先，显示原始图像 I1=imread('rice.tif'); figure,imshow(I1) %原始图像如图9-2所示 %然后，选取阈值为0.2，对原始图像进行四叉树分解，并以灰度图的形式显示分解所得的稀疏矩阵。 S = qtdecomp(I1,0.2); S2=full(S); figure,imshow(S2) %稀疏矩阵如图9-3所示 %最后，通过查看S2来了解四

x=[3 4 5 6]; y=[2 3 4 5]; feather(x,y);

I=imread('cameraman.tif'); figure,imshow(I) J=im2bw(I); figure,imshow(J) BW1= bwmorph(J,'dilate'); figure,imshow(BW1)