SheikhIP

用模糊C均值算法实现图像分割 ，文件夹中附带有图片和matlab的源程序，已经验证过可以实现对图片的分割 (Fuzzy C-means algorithm for image segmentation, there is a folder with pictures and matlab source, has already been verified can be achieved on image segmentation)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

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：  光学现象模拟，包括反射，折射，牛顿环，杨氏双缝干涉等。转自某blog(optical phenomena simulation, including reflection, refraction, Newton Central, Young's double slit interference. Transfers from a blog)

说明：  使用sift进行的图像拼接，matlab语言实现(Image mosaic using sift)

zemax非序列下gaussian光束的matlab程序（包括zemax演示源文件）(zemax sequence under non-gaussian beam matlab program (including zemax demo source files))

主要介绍关于图像匹配的相应matlab程序设计(Focuses on the appropriate image matching matlab program )

图像融合的算法集锦，遥感图像的小波融合等(Image fusion algorithm Collection, remote sensing image wavelet fusion)

八种经典的图像去噪的方法（包括图像），希望能对您有所帮助！(Eight classical image denoising methods (including images), hoping to help you!)

基于特征匹配的英文印刷字符识别，里面有实验所需的图片和具体的代码(English printed character recognition based on feature matching, which contains the pictures and specific code needed for the experiment)