Matlab 常用图像处理命令 108 例（五）

imcontour(I,n) imcontour(I,v) imcontour(x,y,...) imcontour(...,LineSpec) [C,h] = imcontour(...)

I = imread('ic.tif'); imcontour(I,3)

I2 = imcrop(I)X2 = imcrop(X,map) RGB2 = imcrop(RGB) I2 = imcrop(I,rect)X2 = imcrop(X,map,rect) RGB2 = imcrop(RGB,rect) [...] = imcrop(x,y,...) [A,rect] = imcrop(...)[x,y,A,rect] = imcrop(...)

I = imread('ic.tif');I2 = imcrop(I,[60 40 100 90]);imshow(I)figure, imshow(I2)

stats = imfeature(L,measurements) stats = imfeature(L,measurements,n) 

BW = imread('text.tif');L = bwlabel(BW);stats = imfeature(L,'all'); stats(23)ans =Area: 89Centroid: [95.6742 192.9775]BoundingBox: [87.5000 184.5000 16 15]MajorAxisLength: 19.9127MinorAxisLength: 14.2953Eccentricity: 0.6961Orientation: 9.0845 ConvexHull: [28x2 double]ConvexImage: [15x16 uint8 ] ConvexArea: 205Image: [15x16 uint8 ] FilledImage: [15x16 uint8 ] FilledArea: 122EulerNumber: 0 Extrema: [ 8x2 double] EquivDiameter: 10.6451Solidity: 0.4341Extent: 0.3708 PixelList: [89x2 double]

info = imfinfo(filename,fmt) info = imfinfo(filename)

info = imfinfo('canoe.tif') info = Filename:'canoe.tif'FileModDate: '25-Oct-1996 22:10:39'FileSize: 69708 Format: 'tif' FormatVersion: [] Width: 346Height: 207BitDepth: 8 ColorType: 'indexed'FormatSignature: [73 73 42 0] ByteOrder: 'little-endian' NewSubfileType: 0BitsPerSample: 8 Compression: 'PackBits'
PhotometricInterpretation: 'RGB Palette' StripOffsets: [ 9x1 double] SamplesPerPixel: 1RowsPerStrip: 23 StripByteCounts: [ 9x1 double] XResolution: 72YResolution: 72 ResolutionUnit: 'Inch' Colormap: [256x3 double] PlanarConfiguration: 'Chunky' TileWidth: []TileLength: [] TileOffsets: [] TileByteCounts: [] Orientation: 1FillOrder: 1GrayResponseUnit: 0.0100MaxSampleValue: 255MinSampleValue: 0Thresholding: 1 

imhist(I,n) imhist(X,map) [counts,x] = imhist(...) 

I = imread('pout.tif');imhist(I)

mov = immovie(X,map)

load mrimov = immovie(D,map); 

J = imnoise(I,type)J = imnoise(I,type,parameters)

I = imread('eight.tif');J = imnoise(I,'salt & pepper',0.02); imshow(I)figure, imshow(J)

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,...) 

RGB = imread('flowers.tif');c = [12 146 410];r = [104 156 129];pixels = impixel(RGB,c,r) pixels =61 59 101253 240 0237 37 44

c = improfilec = 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)

I = imread('alumgrns.tif'); x = [35 338 346 103];y = [253 250 17 148];improfile(I,x,y), grid on

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)

[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');

B = imresize(A,m,method)B = imresize(A,[mrows ncols],method) B = imresize(...,method,n)B = imresize(...,method,h)

B = imrotate(A,angle,method)B = imrotate(A,angle,method,'crop')

I = imread('ic.tif');J = imrotate(I,–4,'bilinear','crop'); imshow(I)figure, imshow(J)