博文
Content-Based Image Retrieval(2009-10-09 20:47:00)
摘要：Content-Based Image Retrieval
Image dataset
http://www-i6.informatik.rwth-aachen.de/dagmdb/index.php/Content-Based_Image_Retrieval
The Vision Lab at UIUC
Corel database
Computer Vision Test Images
http://www.fotosearch.cn/
Brodatz Textures
http://www.cs.washington.edu/research/imagedatabase/groundtruth/
Demo
http://wang.ist.psu.edu/IMAGE/ (S I M P L I c i t y)
http://labs.systemone.at/retrievr/ (Flickr)
http://cvit.iiit.ac.in/fish/advanced.cgi (Fish)
http://tineye.com/ （TinEye）
Computer Vision Online Demo
http://www.cs.washington.edu/research/imagedatabase/demo/
中科院计算所 Mires
VisualSEEk
IBM QBIC
Edited by Guoping Zou 2009-10-09......
Face Detection Demo(2009-07-03 21:19:00)
摘要：1. OpenCV1.0 + VC6.0
2. Emgu.CV.-1.4.0.0 + VC# 2005
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Object-Based Image Retrieval System(2009-07-03 20:53:00)
摘要：
基于目标的图像检索实验,VC#2005+SQL Server 2000
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MATLAB图像处理函数(一)(2008-12-14 17:41:00)
摘要：
1．applylut
功能：在二进制图像中利用lookup 表进行边沿操作。
语法：A = applylut(BW,lut)
举例
lut = makelut('sum(x(:)) == 4',2);
BW1 = imread('text.tif');
BW2 = applylut(BW1,lut);
imshow(BW1)
figure, imshow(BW2)
相关命令：makelut
2．bestblk
功能：确定进行块操作的块大小。
语法：siz = bestblk([m n],k) [mb,nb] = bestblk([m n],k)
举例
siz = bestblk([640 800],72) siz = 64 50
相关命令：blkproc
3．blkproc
功能：实现图像的显式块操作。
语法：
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',...)
举例
I = imread('alumgrns.tif');
I2 = blkproc(I,[8 8],'std2(x)*ones(size(x))');
imshow(I)
figure, imshow(I2,[]);
相关命令：colfilt, nlfilter,inline
4．brighten......