iapolarcoord

这是我和我的朋友们总结的立体视觉匹配算法的教学ppt，希望有用(This is me and my friends summed teaching ppt stereo matching algorithm, hope useful)

说明：  使用硬/软阈值算法，求解各种不同范数约束问题，算法主要有三种(Contains three matrix completion algorithms and a demo script for running them. Also compares against other matrix completion algorithms - Singular Value Thresholding and Fixed Point Iteration.)

说明：  MATLAB如何将图片切分成任意M*N块 在图像处理的时候，有时会不可避免的将图像分块来进行操作，但是图像的像素不可能每次都是可以被整除的，所以我们需要imresize函数对图像的尺寸进行修改，以便可以完成M*N块的分割(How can matlab cut the image into any m * n blocks? Sometimes it is inevitable to divide the image into blocks for operation. However, the pixels of the image can not be divided every time. So we need to modify the size of the image with the function of reduce to complete the m * n block segmentation)

说明：  自己编的SVM代码，适合初学者，多多关注，，(SVM learning, suitable for beginners, rich code, SVM code, suitable for beginners, more attention)

本程序是使用c++开发语言编写的，功能是将bmp图像进行细化处理，比如，可以将比较粗的汉字细化成较细的汉字。(This program used c++ development language, the function is to thinning BMP image . For example, it can be more crude refining the Chinese characters into a fine characters.)

文件中是改进的hausdorff距离匹配算法，避免了外部离散点的干扰，优化了计算方法，实现起来更加完美。(In the File,there is the improved Hausdorff distance matching algorithm, avoiding the interference of external discrete points, method, realizes more perfect.)

本人搜集的Ostu图像二值化的算法，是在MATLAB环境下写的，不过上传的代码是文本格式的，各位可以根据自己需要参照一下(I collect images of two gray value of the algorithm is to write MATLAB environment, But the code is uploaded to the text format, you may need to refer to themselves)

核自适应滤波算法krls的matlab程序。已将klms算法弄成函数，加载即可使用。(Nuclear adaptive filtering algorithm krls matlab program. Klms algorithm has inflicted function, load can be used.)

VisualC++数字图像处理技术详解第2版-光盘 第九章(VisualC++ digital image processing technology Detailed Version 2- CD Chapter IX)

说明：  最大熵是图像阈值分割里常用的一种简单且效果明显的方法。该代码是最大熵算法的快速递推形式。(Maximum Entropy is Image Threshold Segmentation ri common a simple and obvious effect method. The code is maximum entropy algorithm rapid recursion forms.)