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1、%注意：imadjust()%功能：调整图像灰度值或颜色映像表，也可实现伽马校正。%语法：J=imadjust(l,[low_inhigh_in],[low_outhigh_out],gamma)%newmap=imadjust(map,[low_inhigh_in],[low_outhigh_out],gamma)%RGB2=imadjust(RGBl,...)I=imread('pout.tif');J=imadjust(l);figure,imshow(l),figure,imshow(J)K=imadjust(l,
2、[0.30.7],[]);figure,imshow(K)RGB1=imread('football.jpg');RGB2=imadjust(RGBl,[.2.30;.6.71】,[]);figure,imshow(RGBl),figure,imshow(RGB2)%采用三种不同算子对图像进行锐化处理。i=imread('football.jpg')I=rgb2gray(i)H=fspecial(’sobel')%应用Sobel算子锐化图像ll=filter2(HJ)%Sobel算子滤波锐化H=fspecialfprewi
3、tt')%应用prewitt算子锐化图像l2=filter2(H,l)%prewitt算子滤波锐化H=fspecialflog')%应用log算子锐化图像l3=filter2(HJ)%log算子滤波锐化subplot(2,2,l);imshow(i);title(•原图像subplot(2z2z2);imshow(ll);title('Sobel算子锐化图像•)subplot(2,2,3);imshow(l2);title('prewitt算子锐化图像')subplot(2,2,4);imshow(l3);title('l
4、og算子锐化图像')%对图像进行均衡化处理i=imread('F:workDigitalImageProcessing2015ketangshiyanceshituPlane211.jpg');I=rgb2gray(i);%J=histeq(l);H=adapthisteq(l);figure⑴；imshow(l);xlabelf原始图像figure(2);imshow(J);xlabel('histeq均衡化');figure(3);imshow(H);xlabel('adapthisteq均衡化•);%读入
5、图像c，执行直方图规定化，使图像a的灰度分布与c大致相同，显示变换后图像及对应直方图。i=imread('F:workDigitalImageProcessing2015ketangshiyanceshituPlane211.jpg')；I=rgb2gray(i);J=histeq(l,32);%均衡化成32个灰度级的直方图[counts,x]=imhist(J);%返回直方图图像向量countsb=imread('forest.tif')Q=rgb2gray(b)M=histeq(Q,counts);%将原始
6、图像Q的直方图变成指定向量countsfigure,subplot(3,2,l)Jmshow(l);subplot(3,2,2),imshow(Q);subplot(3,2,3),imhist(l);subplot(3,2,4),imhist(Q)subplot(3,2,5),imhist(J);subplot(3,2z6),imhist(M);i=imread('F:workDigitalImageProcessing2015ketangshiyanceshituPlane211.jpg')；f=rgb2gr
7、ay(i);g=imhist(f,256);示其直方图figure,imshow(g)gl=imadjust(f,[Ol],[10]);%灰度转换，实现明暗转换(负片图像)figure,imshow(gl)%将0.5到0.75的灰度级扩展到范围[01]g2=imadjust(f,[0.50.75],[01]);figure,imshow(g2)a=imread(,F:workDigjtalImageProcessing2015ketangshiyanceshitucameraman.jpg,);g=rgb2gr
8、ay(a);h=log(l+double(g));h=mat2gray(h);h=im2uint8(h);figurejmshow(h)%对输入图像对数映射变换%将矩阵h转换为灰度图片%将灰度图转换为8位图%直接灰度变换clearall;closealli=imread(,F:workDigital
