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pthoto1
- subplot(2,2,1) imshow(I) title( 原始图象 ) subplot(2,2,2) imshow(BW1) title( prewitt 边缘检测后的图象 ) subplot(2,2,3) imshow(BW2) title( canny 边缘检测后的图象 ) subplot(2,2,4) imshow(BW3) title( sobel 边缘检测后的图象 ) -subplot (2,2, 1) imshow (I) title (original ima
newnethodotsu
- 一个新设计的OTSU算法，使用方法如下：％ load clown ％ subplot(221) ％ imshow(X/max(X(:))) ％ title( Original , FontWeight , bold ) ％ for n = 2:4 ％ Iseg = otsu(X,n) ％ subplot(2,2,n), colormap(gray) ％ imshow(Iseg) ％ title([ n = int2str(n)], FontWeight , bo
jpegprotected
- clc img = imread( lena.bmp ) JPEG compression jpegcompression(img, lena_compressed.mat ) JPEG decompression Irec = jpegrestoration( lena_compressed.mat ) System performances [CR,BPP,PSNR,MSE,SNR] = systemperformances(img,Ir
ghjugkbmp
- subplot(3,2,1) imshow(i) title( Input Image )
image
- MATLAB实用源代码 1.图像反转 MATLAB程序实现如下： I=imread( xian.bmp ) J=double(I) J=-J+(256-1) 图像反转线性变换 H=uint8(J) subplot(1,2,1),imshow(I) subplot(1,2,2),imshow(H) -matlab code
pca2
- 读图 mix imread( romems.jpg ) pan imread( rome_pan.jpg ) 显示原多光谱图 subplot(221) imshow(mix),title( 多光谱 ) subplot(222) imshow(pan),title( 全色图像 ) 预处理 mix double(mix)/255 pan double(pan)/255 求相关矩阵 [r c bands] size(mix) p
eoudtka
- 用subplot分别在不同的坐标系下作出下列四条曲线,为每幅图形加上标题,-With subplot respectively made the following four curves under the different coordinate system, for each graphic caption,
image reversal
- 1.图像反转 MATLAB程序实现如下： I=imread('xian.bmp'); J=double(I); J=-J+(256-1); %图像反转线性变换 H=uint8(J); subplot(1,2,1),imshow(I); subplot(1,2,2),imshow(H);(1. image reversal The MATLAB program is implemented as follows: I=imread ('xian.b