weightedMedian

hausdorff距离，用于图像处理中比较两幅图像的差异的方法。其鲁棒性较好。(hausdorff distance, for the image processing of the images compared two different methods. Its robustness better.)

用于求解凸优化问题，恢复低秩密度矩阵问题(this matlab Algorithm can be used for the convey optimal problen, and also for the low-rank density matrix reconstruction)

Susan算法，用于角点检测。很先进的方法，国内有人改进过，这是原来的方法。(Susan algorithm for corner detection. The most advanced methods, there are those who improved, this is the original method.)

應用視覺密碼原理之浮水印技術，包含程式碼與原始論文檔(Application of the principle of visual cryptography watermark technology, contains the original code of the document)

图像的简单匹配程序，在左影像上点一点，然后使用相关系数法在右影像上进行全局遍历，找到相关系数最大的点，设为匹配的目标点。(Simple image matching program, the image on the left point a little, and then use the correlation coefficient on the right image globally traversal, find the maximum point of the correlation coefficient, to match the target point.)

说明：  图像分割程序，可以分割红外车辆目标、人物等目标和图像。(Image segmentation program, you can split infrared target vehicles, characters and other objectives and image.)

基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)

Itti模型的显著图提取，使用matlab编写，很好的代码，可供参考学习(Itti model saliency map extraction, the use of matlab prepared very well the code)

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)

OneNote OCR 图片识别 实例源码下载