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1、实验一图像增强与平滑一．实验目的及要求1．了解MATLAB的操作环境和基本功能。2．掌握MATLAB中图像增强与平滑的函数的使用方法。3．加深理解图像增强与平滑的算法原理。二、实验内容（一）研究以下程序，分析程序功能；输入执行各命令行，认真观察命令执行的结果。熟悉程序中所使用函数的调用方法，改变有关参数，观察试验结果。1．直方图均衡化clearall;closeall%CleartheMATLABworkspaceofanyvariables%andcloseopenfigurewindows.I=im
2、read('pout.tif');%Readsthesampleimages‘pout.tif’,andstoresitinimshow(I)%anarraynamedI.displaytheimagefigure,imhist(I)%Createahistogramoftheimageanddisplayitin%anewfigurewindow.[I2,T]=histeq(I);%Histogramequalization.figure,imshow(I2)%Displaythenewequaliz
3、edimage,I2,inanewfigurewindow.figure,imhist(I2)%CreateahistogramoftheequalizedimageI2.figure,plot((0:255)/255,T);%plotthetransformationcurve.imwrite(I2,'pout2.png');%WritethenewlyadjustedimageI2toadiskfilenamed%‘pout2.png’.imfinfo('pout2.png')%Checktheco
4、ntentsofthenewlywrittenfile均衡化的结果是使弧度范围变的变广，均衡化后的图象对比度变强。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(I,[low_inhigh_in],[low_outhigh_out],gamma)newmap=imadjust(map,[low_inhigh_in],[low_outhigh_out],gamma)RGB2=imadjust(RGB1,...)2．直接灰度变换clearall;cl
5、oseallI=imread('cameraman.tif');J=imadjust(I,[00.2],[0.51]);imshow(I)figure,imshow(J)[X,map]=imread('forest.tif');figure,imshow(X,map)I2=ind2gray(X,map);J2=imadjust(I2,[],[],0.5);figure,imshow(I2)figure,imshow(J2)J3=imadjust(I2,[],[],1.5);figure,imshow(J
6、3)helpimadjust%Displaytheimadjust()functioninformation.3．空域平滑滤波（模糊、去噪）clearall;closeallI=imread('eight.tif');h1=ones(3,3)/9;h2=ones(5,5)/25;I1=imfilter(I,h1);I2=imfilter(I,h2);figure(1),imshow(I),title('OriginalImage');figure(2),imshow(I1),title('Filtere
7、dImageWith3*3')figure(3),imshow(I2),title('FilteredImageWith5*5')%加入Gaussian噪声J1=imnoise(I,'gaussian',0,0.005);%加入椒盐噪声J2=imnoise(I,'salt&pepper',0.02);%对J1、J2进行平均值平滑滤波K1=imfilter(J1,fspecial('average',3));K2=imfilter(J2,fspecial('average',3));figure(4);s
8、ubplot(2,2,1),imshow(J1),title('gaussian');subplot(2,2,2),imshow(J2),title('salt&pepper');subplot(2,2,3),imshow(K1),title('average');subplot(2,2,4),imshow(K2);%对J1、J2进行中值滤波K3=medfilt2(J1,[33]);K4=medfilt2(J2,[33]);figure(5
