基于隐马尔可夫模型的人脸识别 需要opencv3.1版本才能使用

利用背景建模检测运动物体（openCV)-Detection using background modeling moving objects (openCV)

方块编码程序 本程序采用了最简单的方块编码对512×512的lena图像进行了编码 运行程序后可以看出，方块取得越大，图像编码后失真越大。 -Box coding procedures used in this process the most simple box of 512 × 512 encoding the lena image after the encoding run the program we can see that the box to obtain the greater the greater the distortion image is encoded.

常用图像变换程序 直方图均衡化 的小程序-image processing

都花费在为您修正说 都花费在为您修正说-Are spent on the amendment that you have spent on you to modify, to say

shark 快速图象分割方法 是老外编得 好像蛮好用

基于高层语义的图像检索算法，文件为pdf文档，很好很新的资料。-High-level semantic-based image retrieval algorithm, a document for pdf documents, new information is very good.

对图像进行边缘检测的Visual C++源代码-right image edge detection Visual C source code

通用的DIB类库，能实现bmp文件的显示，适合图象处理初学者-DIB generic class libraries, can achieve the display bmp file, suitable for image processing for beginners

opencv的说明文档，使用opencv的经典的入门级文档-opencv documentation, use opencv classic entry-level document

摘要：拐点是数字图像中的一个重要信息载体 提出一种新的拐点检测算法 该算法并非寻找连续空间中曲率的离散近似计算方法，而是源于离散曲线的外观特征，推导出离散曲线上拐点处k个点对间欧氏距离平方和局部最小这一重要性质。基于该性质，本算法首先利用Freeman链码的性质.过滤掉物体边界上明显不可能成为拐点的象素，然后在剩余的边界点中通过寻找该局部最小值定位出拐点。给出了本算法与四种著名拐点检测算法的对比实验。 -Abstract: The inflection point is a digital image of an important information carrier put forward a new turning point detection algorithm the algorithm does not look for continuous space discrete approximation of the curvature calculation method, but from the appearance of characteristics of discrete curve derived discrete curve the inflection point at k-points between the squared Euclidean distance and the local minimum of this important property. Based on the nature of the algorithm is the first to use Freeman chain code in nature. Filter out objects clearly can not become a turning point on the border pixel, and then in the remaining boundary points by finding out the turning point of the local minimum position. The algorithm is given inflection point detection algorithm with th