colur_segmentation

这本是用VC++来实现图像处理的书藉,对于学习图像处理的来说是非常有用的.(This is VC++ to realize image processing books, for learning image processing is very useful.)

对视屏中动态目标的形心追踪,matlab代码,阈值分割,形心计算,序列图读取显示(The centroid tracking of dynamic targets in the video screen, matlab code, threshold segmentation, centroid calculation, sequence diagram reading and display)

说明：  光流法处理车辆视频，读取视频，分析单帧图片，得到光流图片(The optical flow method processes the vehicle video, reads the video, analyzes the single frame picture, obtains the optical flow picture)

广度优先搜索和深度优先搜索在网络拓扑图上的实现。广度优先搜索是从某一节点开始，搜索与其线连接的所有节点，按照广度方向像外扩展，直到不重复遍历所有节点；深度优先搜索是从某一节点开始，沿着其搜索到的第一个节点不断深入下去，当无法再深入的时候，回溯节点，然后再在回溯中的某一节点开始沿另一个方向深度搜索，直到不重复的遍历所有节点。 (Breadth-first search and depth-first search in the network topology is realized. Breadth-first search is started from a node, searching all the nodes connected to its line, in accordance with the breadth direction as extracapsular extension, until no repeat traverse all nodes depth-first search is started from a node along its search to the first nodes deepening it, when it can not go any further, backtracking node, and then back again in the beginning of a node depth search in the other direction until the non-repetition of the traverse all nodes.)

说明：  在一图像中加入噪声，是超分辨率中的一个重要步骤哦(noise)

使用frequency-tuned saliency算法计算图像的saliency值，基于此saliency值将图像中的显著区域提取出来。(Using frequency-tuned saliency saliency value of image algorithm, based on the saliency value of the significant image area extracted.)

极化SAR图像多纹理最大似然处理滤波算法，可以生成处理后的四个通道图像数据。(Multi-polarization SAR image texture filtering deal with maximum-likelihood algorithm, can be generated after the deal with the four-channel image data.)

数字图像处理图像去模糊迭代盲去卷积算法matlab源代码(Digital image processing, image deblurring iterative blind deconvolution algorithm Matlab source code)

PCA+SVM，对图像进行降维分类，并在yale库上测试取得比较好的效果(PCA+ SVM, dimensionality reduction of image classification, and yale library to achieve better test results)

a novel fitness function for utilization for images segmentation using a metaheuristic method (GA, pso, sfla, aco...)