MATLAB图像处理工具箱常用函数列表.docx

1、MATLAB图像处理工具箱常用函数列表附录 MATLAB图像处理工具箱函数 表1 通用函数函数功能语法colorbar显示颜色条colorbarcolorbar(.,peer,axes_handle)colorbar(axes_handle)colorbar(location)colorbar(.,PropertyName,propertyvalue)cbar_axes = colorbar(.)getimage从坐标轴取得图像数据A = getimage(h)x,y,A = getimage(h).,A,flag = getimage(h). = getimageimage创建并显示图像对象

2、image(C)image(x,y,C)image(.,PropertyName,PropertyValue,.)image(PropertyName,PropertyValue,.) Formal syntax - PN/PV onlyhandle = image(.)imagesc按图像显示数据矩阵imagesc(C)imagesc(x,y,C)imagesc(.,clims)h = imagesc(.)imshow显示图像imshow(I,n)imshow(I,low high)imshow(BW)imshow(X,map)imshow(RGB)imshow(,display_optio

3、n)imshow(x,y,A,)imshow filenameh = imshow()imview利用图像浏览器显示图像imview(I)imview(RGB)imview(X,map)imview(I,range)imview(filename)imview(.,InitialMagnification,initial_mag)h = imview(.)imview close allmontage在矩形框中同时显示多帧图像montage(I)montage(BW)montage(X,map)montage(RGB)h = montage(.)immovie创建多帧索引色图像的电影动画mov

4、 = immovie(X,map)mov = immovie(RGB)subimage在一个图形中显示多个图像，结合函数subplot使用subimage(X,map)subimage(I)subimage(BW)subimage(RGB)subimage(x,y,.)h = subimage(.)truesize调整图像显示尺寸truesize(fig,mrows mcols)truesize(fig)wrap将图像显示到纹理映射表面warp(X,map)warp(I,n)warp(BW)warp(RGB)warp(z,.)warp(x,y,z,.)h = warp(.)zoom缩放图像或图

5、形zoom on zoom offzoom outzoom resetzoomzoom xonzoom yonzoom(factor)zoom(fig, option)表2 图像文件I/O函数函数功能语法imfinfo返回图像文件信息info = imfinfo(filename,fmt)info = imfinfo(filename)imread从图像文件中读取图像A = imread(filename,fmt)X,map = imread(filename,fmt). = imread(filename). = imread(URL,.). = imread(.,idx) (CUR, GI

6、F, ICO, and TIFF only). = imread(., PixelRegion, ROWS, COLS ) (TIFF only). = imread(.,frames,idx) (GIF only). = imread(.,ref) (HDF only). = imread(.,BackgroundColor,BG) (PNG only)A,map,alpha = imread(.) (ICO, CUR, and PNG only)imwrite把图像写入图像文件中imwrite(A,filename,fmt)imwrite(X,map,filename,fmt)imwrit

7、e(.,filename)imwrite(.,Param1,Val1,Param2,Val2.)表3 空间变换函数函数功能语法findbounds为空间变换寻找输出边界outbounds = findbounds(TFORM,inbounds)fliptform切换空间变换结构的输入和输出角色TFLIP = fliptform(T)imcrop剪切图像I2 = imcrop(I)X2 = imcrop(X,map)RGB2 = imcrop(RGB)I2 = imcrop(I,rect)X2 = imcrop(X,map,rect)RGB2 = imcrop(RGB,rect). = imcr

8、op(x,y,.)A,rect = imcrop(.)x,y,A,rect = imcrop(.)imresize图像缩放B = imresize(A,m)B = imresize(A,m,method)B = imresize(A,mrows ncols,method)B = imresize(.,method,n)B = imresize(.,method,h)imrotate图像旋转B = imrotate(A,angle)B = imrotate(A,angle,method)B = imrotate(A,angle,method,bbox)interp22-D数据插值ZI = int

9、erp2(X,Y,Z,XI,YI)ZI = interp2(Z,XI,YI)ZI = interp2(Z,ntimes)ZI = interp2(X,Y,Z,XI,YI,method)imtransform对图像进行2-D空间变换B = imtransform(A,TFORM)B = imtransform(A,TFORM,INTERP)B,XDATA,YDATA = imtransform(.)B,XDATA,YDATA = imtransform(., param1, val1, param2, val2,.)makeresampler生成重采样结构R = makeresampler(in

10、terpolant,padmethod)maketform生成几何变换结构T = maketform(transformtype,.)tformarray多维数组的空间变换B = tformarray(A, T, R, TDIMS_A, TDIMS_B, TSIZE_B, TMAP_B,F)tformfwd正向空间变换X,Y = tformfwd(T,U,V)X1,X2,X3,. = tformfwd(T,U1,U2,U3,.)X = tformfwd(T,U)X1,X2,X3,. = tformfwd(T,U)X = tformfwd(T,U1,U2,U3,.)tforminv逆向空间变换U

11、 = tforminv(X,T)表4 像素和统计处理函数函数功能语法corr2计算两个矩阵的2-D相关系数r = corr2(A,B)imcontour创建图像的轮廓图imcontour(I)imcontour(I,n)imcontour(I,v)imcontour(x,y,.)imcontour(.,LineSpec)C,h = imcontour(.)imhist显示图像的直方图imhist(I,n)imhist(X,map)counts,x = imhist(.)impixel确定像素颜色值P = impixel(I)P = impixel(X,map)P = impixel(RGB)P

12、 = 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,.)improfile沿线段计算剖面图的像素值c = improfilec = improfile(n)c = improfile(I,xi,yi)c = improfile(I,xi,yi,n)cx,cy,c = improfile(.)cx,

13、cy,c,xi,yi = improfile(.). = improfile(x,y,I,xi,yi). = improfile(x,y,I,xi,yi,n). = improfile(.,method)mean2求矩阵元素平均值B = mean2(A)pixval显示图像像素信息pixval onpixval offpixvalpixval(fig,option)pixval(ax,option)pixval(H,option)regionprops得到图像区域属性STATS = regionprops(L,properties)std2计算矩阵元素的标准偏移b = std2(A)表5 图像

14、分析函数函数功能语法edge识别灰度图像中的边界BW = edge(I,sobel)BW = edge(I,sobel,thresh)BW = edge(I,sobel,thresh,direction)BW,thresh = edge(I,sobel,.)BW = edge(I,prewitt)BW = edge(I,prewitt,thresh)BW = edge(I,prewitt,thresh,direction)BW,thresh = edge(I,prewitt,.)BW = edge(I,roberts)BW = edge(I,roberts,thresh)BW,thresh =

15、 edge(I,roberts,.)BW = edge(I,log)BW = edge(I,log,thresh)BW = edge(I,log,thresh,sigma)BW,threshold = edge(I,log,.)qtdecomp执行四叉树分解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,.)qtgetblk获取四叉树分

16、解中的数组块值vals,r,c = qtgetblk(I,S,dim)vals,idx = qtgetblk(I,S,dim)qtsetblk设置四叉树分解中的数组块值J = qtsetblk(I,S,dim,vals)表6 图像增强函数函数功能语法adapthisteq执行对比度受限的直方图均衡J = adapthisteq(I)J = adapthisteq(I,param1,val1,param2,val2.)decorrstretch对多通道图像应用解卷积延拓S = decorrstretch(I)S = decorrstretch(I,TOL)histeq用直方图均等化增强对比度J

17、= histeq(I,hgram)J = histeq(I,n)J,T = histeq(I,.)newmap = histeq(X,map,hgram)newmap = histeq(X,map)newmap,T = histeq(X,.)imadjust调整图像灰度值或颜色映射表J = imadjust(I)J = imadjust(I,low_in; high_in,low_out; high_out)J = imadjust(.,gamma)newmap = imadjust(map, low_in high_in, low_out high_out, gamma)RGB2 = ima

18、djust(RGB1,.)imnoise向图像中加入噪声J = imnoise(I,type)J = imnoise(I,type,parameters)medfilt2进行二维中值滤波B = medfilt2(A,m n)B = medfilt2(A)B = medfilt2(A,indexed,.)ordfilt2进行二维统计顺序滤波B = ordfilt2(A,order,domain)B = ordfilt2(A,order,domain,S)B = ordfilt2(.,padopt)stretchlim得到图像对比度延拓的灰度上下限LOW_HIGH = stretchlim(I,T

19、OL)LOW_HIGH = stretchlim(RGB,TOL)wiener2进行二维适应性去噪滤波J = wiener2(I,m n,noise)J,noise = wiener2(I,m n)表7 线性滤波函数函数功能语法conv2二维卷积C = conv2(A,B)C = conv2(hcol,hrow,A)C = conv2(.,shape)convmtx2二维矩阵卷积T = convmtx2(H,m,n)T = convmtx2(H,m n)convnn维卷积C = convn(A,B)C = convn(A,B,shape)filter2二维线性滤波Y = filter2(h,X

20、)Y = filter2(h,X,shape)fspecial创建预定义滤波器h = fspecial(type)h = fspecial(type,parameters)imfilter多维图像滤波B = imfilter(A,H)B = imfilter(A,H,option1,option2,.)表8 线性二维滤波器设计函数函数功能语法freqspace确定二维频率响应的频率空间f1,f2 = freqspace(n)f1,f2 = freqspace(m n)x1,y1 = freqspace(.,meshgrid)f = freqspace(N)f = freqspace(N,who

21、le)freqz2计算二维频率响应H,f1,f2 = freqz2(h,n1,n2)H,f1,f2 = freqz2(h,n2 n1)H,f1,f2 = freqz2(h)H,f1,f2 = freqz2(h,f1,f2). = freqz2(h,.,dx dy). = freqz2(h,.,dx)freqz2(.)fsamp2用频率采样法设计二维FIR滤波器h = fsamp2(Hd)h = fsamp2(f1,f2,Hd,m n)ftrans2通过频率转换法设计二维FIR滤波器h = ftrans2(b,t)h = ftrans2(b)fwind1用一维窗口方法设计二维FIR滤波器h =

22、fwind1(Hd,win)h = fwind1(Hd,win1,win2)h = fwind1(f1,f2,Hd,.)fwind2用二维窗口方法设计二维FIR滤波器h = fwind2(Hd,win)h = fwind2(f1,f2,Hd,win)表9 图像变换函数函数功能语法dct2进行二维离散余弦变换B = dct2(A)B = dct2(A,m,n)B = dct2(A,m n)dctmtx计算离散余弦变换矩阵D = dctmtx(n)fft2进行二维快速傅立叶变换Y = fft2(X)Y = fft2(X,m,n)fftn进行n维快速傅立叶变换Y = fftn(X)Y = fftn(

23、X,siz)fftshift转换快速傅立叶变换的输出象限Y = fftshift(X)Y = fftshift(X,dim)idct2计算二维逆离散余弦变换B = idct2(A)B = idct2(A,m,n)B = idct2(A,m n)ifft2计算二维逆快速傅立叶变换Y = ifft2(X)Y = ifft2(X,m,n)y = ifft2(., nonsymmetric)y = ifft2(., nonsymmetric)ifftn计算n维逆快速傅立叶变换Y = ifftn(X)Y = ifftn(X,siz)y = ifftn(., nonsymmetric)y = ifftn(

24、., nonsymmetric)iradon逆Radon变换I = iradon(R,theta)I = iradon(R, theta, interp, filter, frequency_scaling, output_size)I,H = iradon(.)phantom产生一个头部幻影图像P = phantom(def,n)P = phantom(E,n)P,E = phantom(.)radon计算Radon变换R=radon(I,theta)R,xp=radon()fanbeam计算扇形投影变换F = fanbeam(I,D)F = fanbeam(.,param1,val1,pa

25、ram1,val2,.)F,sensor_positions,fan_rotation_angles = fanbeam(.)表10 边沿和块处理函数函数功能语法bestblk确定进行块操作的块大小siz = bestblk(m n,k)mb,nb = bestblk(m n,k)blkproc实现图像的非重叠（distinct）块操作B = blkproc(A,m n,fun)B = blkproc(A,m n,fun,P1,P2,.)B=blkproc(A,m n,mborder nborder, fun, .)B = blkproc(A,indexed,.)col2im将矩阵的列重新组织

26、到块中A = col2im(B,m n,mm nn, block_type)A = col2im(B,m n,mm nn)colfilt利用列相关函数进行边沿操作B = colfilt(A,m n,block_type,fun)B = colfilt(A,m n,block_type,fun,P1,P2,.)B = colfilt(A, m n, mblock nblock, block_type, fun,.)B = colfilt(A,indexed,.)im2col重调图像块为列B = im2col(A,m n,block_type)B = im2col(A,m n)B = im2col

27、(A,indexed,.)nlfilter通用滑动邻域操作B = nlfilter(A,m n,fun)B = nlfilter(A,m n,fun,P1,P2,.)B = nlfilter(A,indexed,.)表11 图像形态学操作函数函数功能语法applylut在二值图像中利用查找表进行邻域操作A = applylut(BW,LUT)bwarea计算二值图像的对象面积total = bwarea(BW)bweuler计算二值图像的欧拉数eul = bweuler(BW,n)bwhitmiss执行二值图像的击中和击不中操作BW2 = bwhitmiss(BW1,SE1,SE2)BW2 = bwhitmiss(BW1,INTERVAL)bwlabel标注二值图像中已连接的部分L = bwlabel(BW,n)L,num = bwlabel(BW,n)bwmorph二值图像的通用形态学操作BW2 = bwmorph(BW,operation)BW2 = bwmorph(BW,operation,n)bwperim计算二值图像中对象的周长BW2 = bwperim(BW1)BW2 = bwperim(BW1,CONN)bwselect在二值图像中选择对象BW2 = bwselect(BW,c,r,n)BW2 = bwselect(BW,