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Matlab图像处理函数汇总

2017-09-19 19页 doc 33KB 13阅读

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Matlab图像处理函数汇总Matlab图像处理函数汇总(三)  (2009-10-13 13:42:35) 转载▼ 标签:  杂谈 60.imnoise 功能: 增加图像的渲染效果. 语法: J = imnoise(I,type) J = imnoise(I,type,parameters) 举例 I = imread('eight.tif'); J = imnoise(I,'salt & pepper',0.02); imshow(I) figure, imshow(J) 相关命令: rand 61.impixel 功能: 确定像素颜色值....
Matlab图像处理函数汇总
Matlab图像处理函数汇总(三)  (2009-10-13 13:42:35) 转载▼ 标签:  杂谈 60.imnoise 功能: 增加图像的渲染效果. 语法: J = imnoise(I,type) J = imnoise(I,type,parameters) 举例 I = imread('eight.tif'); J = imnoise(I,'salt & pepper',0.02); imshow(I) figure, imshow(J) 相关命令: rand 61.impixel 功能: 确定像素颜色值. 语法: P = impixel(I) P = impixel(X,map) P = impixel(RGB) P = impixel(I,c,r) P = impixel(X,map,c,r) P = impixel(RGB,c,r) [c,r,P] = impixel(...) P = impixel(x,y,I,xi,yi) P = impixel(x,y,X,map,xi,yi) P = impixel(x,y,RGB,xi,yi) [xi,yi,P] = impixel(x,y,...) 举例 RGB = imread('flowers.tif'); c = [12 146 410]; r = [104 156 129]; pixels = impixel(RGB,c,r) pixels = 61 59 101 253 240 0 237 37 44 相关命令: improfile, pixval 62.improfile 功能: 沿线段计算剖面图的像素值. 语法: c = improfile c = improfile(n) c = improfile(I,xi,yi) c = improfile(I,xi,yi,n) [cx,cy,c] = improfile(...) [cx,cy,c,xi,yi] = improfile(...) [...] = improfile(x,y,I,xi,yi) [...] = improfile(x,y,I,xi,yi,n) [...] = improfile(...,method) 举例 I = imread('alumgrns.tif'); x = [35 338 346 103]; y = [253 250 17 148]; improfile(I,x,y), grid on 相关命令: impixel, pixval 63.imread 功能: 从图形文件中读取图像. 语法: A = imread(filename,fmt) [X,map] = imread(filename,fmt) [...] = imread(filename) [...] = imread(...,idx) (TIFF only) [...] = imread(...,ref) (HDF only) [...] = imread(...,'BackgroundColor',BG) (PNG only) [A,map,alpha] = imread(...) (PNG only) 举例 [X,map] = imread('flowers.tif',6); info = imfinfo('skull.hdf'); [X,map] = imread('skull.hdf',info(4).Reference); bg = [255 0 0]; A = imread('image.png','BackgroundColor',bg); [A,map,alpha] = imread('image.png'); 相关命令: imfinfo, imwrite,fread,double,uint8,uint16 64.imresize 功能: 改变图像大小. 语法: B = imresize(A,m,method) B = imresize(A,[mrows ncols],method) B = imresize(...,method,n) B = imresize(...,method,h) 65.imrotate 功能: 旋转图像. 语法: B = imrotate(A,angle,method) B = imrotate(A,angle,method,'crop') 举例 I = imread('ic.tif'); J = imrotate(I,-4,'bilinear','crop'); imshow(I) figure, imshow(J) 相关命令: imcrop, imresize 66.imshow 功能: 显示图像. 语法: imshow(I,n) imshow(I,[low high]) imshow(BW) imshow(X,map) imshow(RGB) imshow(...,display_option) imshow(x,y,A,...) imshow filename h = imshow(...) 相关命令: getimage, imread, iptgetpref, iptsetpref, subimage, truesize, warp 67.imwrite 功能: 把图像写入图形文件中. 语法: imwrite(A,filename,fmt) imwrite(X,map,filename,fmt) imwrite(...,filename) imwrite(...,Param1,Val1,Param2,Val2...) 举例 imwrite(X,map,'flowers.hdf','Compression','none',... 'WriteMode','append') 相关命令: imfinfo, imread 68.ind2gray 功能: 把检索图像转化为灰度图像. 语法: I = ind2gray(X,map) 举例 load trees I = ind2gray(X,map); imshow(X,map) figure,imshow(I) 相关命令: gray2ind, imshow, rgb2ntsc 69.ind2rgb 功能: 转化索引图像为RGB真彩图像. 语法: RGB = ind2rgb(X,map) 相关命令: ind2gray, rgb2ind 70.iptgetpref 功能: 获取图像处理工具箱参数设置. 语法: value = iptgetpref(prefname) 举例 value = iptgetpref('ImshowAxesVisible') value = off 相关命令: imshow, iptsetpref 71.iptsetpref 功能: 设置图像处理工具箱参数. 语法: iptsetpref(prefname,value) 举例 iptsetpref('ImshowBorder','tight') 相关命令: imshow, iptgetpref, truesize 72.iradon 功能: 进行反Radon变换. 语法: I = iradon(P,theta) I = iradon(P,theta,interp,filter,d,n) [I,h] = iradon(...) 举例 P = phantom(128); R = radon(P,0:179); I = iradon(R,0:179,'nearest','Hann'); imshow(P) figure, imshow(I) 相关命令: radon, phantom 73.isbw 功能: 判断是否为二进制图像. 语法: flag = isbw(A) 相关命令: isind, isgray, isrgb 74.isgray 功能: 判断是否为灰度图像. 语法: flag = isgray(A) 相关命令: isbw, isind, isrgb 75.isind 功能: 判断是否为索引图像. 语法: flag = isind(A) 相关命令: isbw, isgray, isrgb 76.isrgb 功能: 判读是否为RGB真彩图像. 语法: flag = isrgb(A) 相关命令: isbw, isgray, isind 77.makelut 功能: 创建一个用于applylut函数的lookup表. 语法: lut = makelut(fun,n) lut = makelut(fun,n,P1,P2,...) 举例 f = inline('sum(x(:)) >= 2'); lut = makelut(f,2) lut = 0 0 0 1 0 1 1 1 0 1 1 1 1 1 1 1 相关命令: applylut 78.mat2gray 功能: 转化矩阵为灰度图像. 语法: I = mat2gray(A,[amin amax]) I = mat2gray(A) 举例 I = imread('rice.tif'); J = filter2(fspecial('sobel'),I); K = mat2gray(J); imshow(I) figure, imshow(K) 相关命令: gray2ind 79.mean2 功能: 计算矩阵元素的平均值. 语法: b = mean2(A) 相关命令: std2, mean, std 80.medfilt2 功能: 进行二维中值过滤. 语法: B = medfilt2(A,[m n]) B = medfilt2(A) B = medfilt2(A,'indexed',...) 举例 I = imread('eight.tif'); J = imnoise(I,'salt & pepper',0.02); K = medfilt2(J); imshow(J) figure, imshow(K) 相关命令: filter2, ordfilt2, wiener2 81.montage 功能: 在矩形框中同时显示多幅图像. 语法: montage(I) montage(BW) montage(X,map) montage(RGB) h = montage(...) 举例 load mri montage(D,map) 相关命令: immovie 82.nlfilter 功能: 进行边沿操作. 语法: B = nlfilter(A,[m n],fun) B = nlfilter(A,[m n],fun,P1,P2,...) B = nlfilter(A,'indexed',...) 举例 B = nlfilter(A,[3 3],'median(x(:))'); 相关命令: blkproc, colfilt 83.ntsc2rgb 功能: 转换NTSC的值为RGB颜色空间. 语法: rgbmap = ntsc2rgb(yiqmap) RGB = ntsc2rgb(YIQ) 相关命令: rgb2ntsc, rgb2ind, ind2rgb, ind2gray 84.ordfilt2 功能: 进行二维统计顺序过滤. 语法: B = ordfilt2(A,order,domain) B = ordfilt2(A,order,domain,S) B = ordfilt2(...,padopt) 相关命令: medfilt2 85.phantom 功能: 产生一个头部幻影图像. 语法: P = phantom(def,n) P = phantom(E,n) [P,E] = phantom(...) 举例 P = phantom('Modified Shepp-Logan',200); imshow(P) 相关命令: radon, iradon 86.pixval 功能: 显示图像像素信息. 语法: pixval on pixval off pixval pixval(fig,option) 相关命令: impixel, improfile 87.qtdecomp 功能: 进行四叉树分解. 语法: S = qtdecomp(I) S = qtdecomp(I,threshold) S = qtdecomp(I,threshold,mindim) S = qtdecomp(I,threshold,[mindim maxdim]) S = qtdecomp(I,fun) S = qtdecomp(I,fun,P1,P2,...) 举例 I = [1 1 1 1 2 3 6 6 1 1 2 1 4 5 6 8 1 1 1 1 10 15 7 7 1 1 1 1 20 25 7 7 20 22 20 22 1 2 3 4 20 22 22 20 5 6 7 8 20 22 20 20 9 10 11 12 22 22 20 20 13 14 15 16]; S = qtdecomp(I,5); full(S) ans = 4 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 0 0 0 0 0 1 1 0 0 4 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 0 0 0 0 0 相关命令: qtgetblk, qtsetblk 88.qtgetblk 功能: 获取四叉树分解中的块值. 语法: [vals,r,c] = qtgetblk(I,S,dim) [vals,idx] = qtgetblk(I,S,dim) 举例 [vals,r,c] = qtgetblk(I,S,4) vals(:,:,1) = 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 vals(:,:,2) = 20 22 20 22 20 22 22 20 20 22 20 20 22 22 20 20 r = 1 5 c = 1 1 相关命令: qtdecomp, qtsetblk 89.qtsetblk 功能: 设置四叉树分解中的块值. 语法: J = qtsetblk(I,S,dim,vals) 举例 newvals = cat(3,zeros(4),ones(4)); J = qtsetblk(I,S,4,newvals) J = 0 0 0 0 2 3 6 6 0 0 0 0 4 5 6 8 0 0 0 0 10 15 7 7 0 0 0 0 20 25 7 7 1 1 1 1 1 2 3 4 1 1 1 1 5 6 7 8 1 1 1 1 9 10 11 12 1 1 1 1 13 14 15 16 相关命令: qtdecomp, qtgetblk 90.radon 功能: 计算Radon变换. 语法: R = radon(I,theta) R = radon(I,theta,n) [R,xp] = radon(...) 举例 iptsetpref('ImshowAxesVisible','on') I = zeros(100,100); I(25:75,25:75) = 1; theta = 0:180; [R,xp] = radon(I,theta); imshow(theta,xp,R,[]), colormap(hot), colorbar 相关命令: iradon, phantom 91.rgb2gray 功能: 转换RGB图像或颜色映像表为灰度图像. 语法: I = rgb2gray(RGB) newmap = rgb2gray(map) 相关命令: ind2gray, ntsc2rgb, rgb2ind, rgb2ntsc 92.rgb2hsv 功能: 转化RGB值为HSV颜色空间. 语法: hsvmap = rgb2hsv(rgbmap) HSV = rgb2hsv(RGB) 相关命令: hsv2rgb, rgbplot 93.rgb2ind 功能: 转化RGB图像为索引图像. 语法: [X,map] = rgb2ind(RGB,tol) [X,map] = rgb2ind(RGB,n) X = rgb2ind(RGB,map) [...] = rgb2ind(...,dither_option) 举例 RGB = imread('flowers.tif'); [X,map] = rgb2ind(RGB,128); imshow(X,map) 相关命令: cmunique, dither, imapprox, ind2rgb, rgb2gray 94.rgb2ntsc 功能: 转化RGB的值为NTSC颜色空间. 语法: yiqmap = rgb2ntsc(rgbmap) YIQ = rgb2ntsc(RGB) 相关命令: ntsc2rgb, rgb2ind, ind2rgb, ind2gray 95.rgb2ycbcr 功能: 转化RGB的值为YcbCr颜色空间. 语法: ycbcrmap = rgb2ycbcr(rgbmap) YCBCR = rgb2ycbcr(RGB) 相关命令: ntsc2rgb, rgb2ntsc, ycbcr2rgb 96.rgbplot 功能: 划分颜色映像表. 语法: rgbplot(map) 举例 rgbplot(jet) 相关命令: colormap 97.roicolor 功能: 选择感兴趣的颜色区. 语法: BW = roicolor(A,low,high) BW = roicolor(A,v) 举例 I = imread('rice.tif'); BW = roicolor(I,128,255); imshow(I); figure, imshow(BW) 相关命令: roifilt2, roipoly 98.roifill 功能: 在图像的任意区域中进行平滑插补. 语法: J = roifill(I,c,r) J = roifill(I) J = roifill(I,BW) [J,BW] = roifill(...) J = roifill(x,y,I,xi,yi) [x,y,J,BW,xi,yi] = roifill(...) 举例 I = imread('eight.tif'); c = [222 272 300 270 221 194]; r = [21 21 75 121 121 75]; J = roifill(I,c,r); imshow(I) figure, imshow(J) 相关命令: roifilt2, roipoly 99.roifilt2 功能: 过滤敏感区域. 语法: J = roifilt2(h,I,BW) J = roifilt2(I,BW,fun) J = roifilt2(I,BW,fun,P1,P2,...) 举例 h = fspecial('unsharp'); J = roifilt2(h,I,BW); imshow(J) 相关命令: filter2, roipoly 100.roipoly 功能: 选择一个敏感的多边形区域. 语法: BW = roipoly(I,c,r) BW = roipoly(I) BW = roipoly(x,y,I,xi,yi) [BW,xi,yi] = roipoly(...) [x,y,BW,xi,yi] = roipoly(...) 举例 I = imread('eight.tif'); c = [222 272 300 270 221 194]; r = [21 21 75 121 121 75]; BW = roipoly(I,c,r); imshow(I) figure, imshow(BW) 相关命令: roifilt2, roicolor, roifill 101.std2 功能: 计算矩阵元素的标准偏移. 语法: b = std2(A) 相关命令: corr2, mean2 102.subimage 功能: 在一幅图中显示多个图像. 语法: subimage(X,map) subimage(I) subimage(BW) subimage(RGB) subimage(x,y,...) h = subimage(...) 举例 load trees [X2,map2] = imread('forest.tif'); subplot(1,2,1), subimage(X,map) subplot(1,2,2), subimage(X2,map2) 相关命令: 103.truesize 功能: 调整图像显示尺寸. 语法: truesize(fig,[mrows mcols]) truesize(fig) 相关命令: imshow, iptsetpref, iptgetpref 104.uint8 功能: 转换数据为8位无符号整型. 语法: B = uint8(A) 举例 a = [1 3 5]; b = uint8(a); whos Name Size Bytes Class a 1x3 24 doublearray b 1x3 3 uint8 array 相关命令: double, im2double, im2uint8 105.uint16 功能: 转换数据为16位无符号整型. 语法: I = uint16(X) 举例 a = [1 3 5]; b = uint16(a); whos Name Size Bytes Class a 1x3 24 double array b 1x3 6 uint16 array 相关命令: double, datatypes, uint8, uint32, int8, int16, int32. 106.warp 功能: 将图像显示到纹理映射表面. 语法: warp(X,map) warp(I,n) warp(BW) warp(RGB) warp(z,...) warp(x,y,z,...) h = warp(...) 举例 [x,y,z] = cylinder; I = imread('testpat1.tif'); warp(x,y,z,I); 相关命令: imshow 107.wiener2 功能: 进行二维适应性去噪过滤处理. 语法: J = wiener2(I,[m n],noise) [J,noise] = wiener2(I,[m n]) 举例 I = imread('saturn.tif'); J = imnoise(I,'gaussian',0,0.005); K = wiener2(J,[5 5]); imshow(J) figure, imshow(K) 相关命令: filter2, medfilt2 108.ycbcr2rgb 功能: 转化YcbCr值为RGB颜色空间. 语法: rgbmap = ycbcr2rgb(ycbcrmap) RGB = ycbcr2rgb(YCBCR) 相关命令: ntsc2rgb, rgb2ntsc, rgb2ycbcr 109.zoom 功能: 缩放图像. 语法: zoom on zoom off zoom out zoom reset zoom zoom xon zoom yon zoom(factor) zoom(fig,option) 相关命令: imcrop 
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