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I1=imread('saturn.tif'); I2=im2bw(I1); figure,imshow(I2) I3=imnoise(I2,'salt & pepper'); figure,imshow(I3) I4= bwmorph(I3,'open'); figure,imshow(I4) I5= bwmorph(I4,'close'); figure,imshow(I5)

h=figure ('color',[1 1 1],'position',[0 0 300 400],... 'name','image processing','NumberTitle','on',... 'menu','figure','WindowButtonDown',... 'disp(''welcome to this

x=[2.5 1.5 2]; y=[2 4 1; 3 6 2; 2 4 8]; bar3h(x,y,'group');

%首先，对blood1.tif图像求反，使前景像素值变成1 I = imread('blood1.tif'); BW1 = ~im2bw(I); %然后，进行填充 BW2 = bwfill(BW1,'holes'); subplot(1,2,1),imshow(BW1) subplot(1,2,2),imshow(BW2)

[X,map]=imread('canoe.tif'); newmap=rgb2gray(map); imshow(X,newmap);

%首先利用嵌入函数创建查找表 f=inline('sum(x(:)) == 4'); lut = makelut(f,2); %然后调用applylut函数利用查找表lut对图像进行操作 I1 = imread('text.tif'); I2 = applylut(I1,lut); imshow(I1) figure, imshow(I2)

X=[1 2 3 4;5 6 7 8;1 2 3 4]; h=image(X); colormap(map) xlabel('x 轴'); ylabel('y 轴');

%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。 A1=imread('rice.tif'); A2=imread('testpat1.tif'); A=cat(3,A1,A2); %用cat函数实现矩阵的合并 imshow(A(:,:,1)) %1代表第一帧

load trees I = ind2gray(X,map); imshow(X,map) figure,imshow(I)