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文章和代码以及样例图片等相干资源，曾经归档至【Github 仓库：digital-image-processing-matlab】或者公众号【AIShareLab】回复 数字图像处理 也可获取。
54.imcontour
性能：创立图像数据的轮廓图。
语法：
imcontour(I,n)
imcontour(I,v)
imcontour(x,y,...)
imcontour(...,LineSpec)
[C,h] = imcontour(...)举例
I = imread('ic.tif');
imcontour(I,3) 相干命令：
clabel, contour, LineSpec
55.imcrop
性能：剪切图像。
语法：
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(...)举例
I = imread('ic.tif');
I2 = imcrop(I,[60 40 100 90]);
imshow(I)
figure, imshow(I2) 相干命令：
zoom
56.imfeature
性能：计算图像区域的特色尺寸。
语法：
stats = imfeature(L,measurements)
stats = imfeature(L,measurements,n) 举例
BW = imread('text.tif');
L = bwlabel(BW);
stats = imfeature(L,'all');
stats(23)
ans =
Area: 89
Centroid: [95.6742 192.9775]
BoundingBox: [87.5000 184.5000 16 15]
MajorAxisLength: 19.9127
MinorAxisLength: 14.2953
Eccentricity: 0.6961
Orientation: 9.0845
ConvexHull: [28x2 double]
ConvexImage: [15x16 uint8]
ConvexArea: 205
Image: [15x16 uint8]
FilledImage: [15x16 uint8]
FilledArea: 122
EulerNumber: 0
Extrema: [8x2 double]
EquivDiameter: 10.6451
Solidity: 0.4341
Extent: 0.3708
PixelList: [89x2 double] 相干命令：
bwlabel
57.imfinfo
性能：返回图形文件信息。
语法：
info = imfinfo(filename,fmt)
info = imfinfo(filename)举例
info = imfinfo('canoe.tif')
info = Filename:'canoe.tif'
FileModDate: '25-Oct-1996 22:10:39'
FileSize: 69708
Format: 'tif'
FormatVersion: []
Width: 346
Height: 207
BitDepth: 8
ColorType: 'indexed'
FormatSignature: [73 73 42 0]
ByteOrder: 'little-endian'
NewSubfileType: 0
BitsPerSample: 8
Compression: 'PackBits'
PhotometricInterpretation: 'RGB Palette'
StripOffsets: [9x1 double]
SamplesPerPixel: 1
RowsPerStrip: 23
StripByteCounts: [9x1 double]
XResolution: 72
YResolution: 72
ResolutionUnit: 'Inch'
Colormap: [256x3 double]
PlanarConfiguration: 'Chunky'
TileWidth: []
TileLength: []
TileOffsets: []
TileByteCounts: []
Orientation: 1
FillOrder: 1
GrayResponseUnit: 0.0100
MaxSampleValue: 255
MinSampleValue: 0
Thresholding: 1 相干命令：imread, imwrite
58.imhist
性能：显示图像数据的柱状图。
语法：
imhist(I,n)
imhist(X,map)
[counts,x] = imhist(...) 举例
I = imread('pout.tif');
imhist(I) 相干命令：
histeq
59.immovie
性能：创立多帧索引图的电影动画。
语法：
mov = immovie(X,map)举例
load mri
mov = immovie(D,map); 相干命令：montage
60.imnoise
性能：减少图像的渲染成果。
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) 相干命令：
rand
61.impixel
性能：确定像素色彩值。
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 相干命令：
improfile, pixval
62.improfile
性能：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 相干命令：
impixel, pixval
63.imread
性能：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'); 相干命令：
imfinfo, imwrite,fread,double,uint8,uint16
64.imresize
性能：扭转图像大小。
语法：
B = imresize(A,m,method)
B = imresize(A,[mrows ncols],method)
B = imresize(...,method,n)
B = imresize(...,method,h)65.imrotate
性能：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) 相干命令：
imcrop, imresize
参考文献：
[1] Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins. 2003. Digital Image Processing Using MATLAB. Prentice-Hall, Inc., USA.
[2] [阮秋琦. 数字图像处理（MATLAB 版）[M]. 北京：电子工业出版社, 2014.](https://github.com/timerring/digital-image-processing-matlab/blob/main/reference/Digital_Image_Processing_(MATLAB_version).pdf)
[3] [冈萨雷斯. 数字图像处理（第三版）[M]. 北京：电子工业出版社, 2011.](https://github.com/timerring/digital-image-processing-matlab/blob/main/reference/Digital_Image_Processing_(Third_Edition).pdf)
