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这是著名的“Algorithmes de factorisation en matrices non-négatives fondée sur la beta-divergence”这篇文章算法的matlab源代码(This is the famous article " Algorithmes de factorisation en matrices non-ngatives fonde sur la beta-divergence" algorithm matlab source code)

图像边沿提取，程序简单，适合图像处理初学者。(Image edge extraction, the procedure is simple, suitable for image processing for beginners.)

说明：  利用Em算法进行图像分割的代码，可以运行，代码简短清晰，有利于初学者，希望对你有用(Em algorithm using image segmentation code, you can run, code clear brief will help beginners, in the hope that useful to you)

用于图像处理上的像素点之间相关性的计算，主要用于分析像素值之间的关联度。(For the calculation of the correlation between the pixels on the image processing)

说明：  将girl 图像进行分割，达到2*4的图像分割结果。并使用tight_subplot函数将分割间距变小。(The girl image is segmented to achieve a 2*4 image segmentation result. And use the tight_subplot function to make the division interval smaller.)

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.(Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.)

k均值分类在遥感影像中的应用，完整的c++代码，注释详细易懂，并且已经验证过(k-means classification in remote sensing images in the application, complete c++ code, comments, detailed and easy to understand, and have been verified)

SURF的实现代码,用于图像特征提取，对于入门计算机视觉的同学有帮助(SURF implementation code for image feature extraction, for beginners of computer vision students help)

实现“动态”的位图动画，VC++经典编程学习源码，很好的参考资料。(The realization of "dynamic" bitmap animation, VC++ classic learning programming source code, a good reference.)

基于稀疏表示的图像融合算法 KSVD OMP(Image fusion algorithm based on sparse representation KSVD OMP)