K-means

二值图像的Zhang快速并行细化算法，具有速度快、保持细化后曲线的连通性和无毛刺产生等优点。(Zhang fast parallel thinning algorithm)

说明：  用optisystem制作得FBG 滤波器(FBG filter was made with optisystem)

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.)

图像检索，从600多张图片中检索出与目标图片相似度最高的。按照相似度顺序排列。(Image retri , retrieved more than 600 pictures in most similar to the target image. They are arranged in order of similarity.)

亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)

说明：  用Lorenz序列进行彩色图像加密，加密效果良好，性能得到较大提升(Using Lorenz sequence to encrypt color image, the encrypting effect is good and the performance is greatly improved.)

calibration摄像机镜头的校正程序(calibration Calibration camera lens calibration procedure)

图像修复是对图像中破损区域进行信息填充，以减少图像破损所带来的信息损失的过程。 传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法，压缩感知理论的提出，使得可以利 用信号的稀疏性来对图像进行修复。基于K 奇异值分解（KSVD）与形态学成分分析（MCA，Morphological Component Analysis）的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析，将其分解 为结构部分和纹理部分；然后基于学习型字典KSVD分别对这两部分进行过完备字典训练；最后利用训练得 到的字典实现对破损图像的修复。相比于传统的图像修复方法，该方法具有适应性强、修复效果好等优点(Image inpainting is to fill the missing data in corrupted images and thus to reduce the information loss of damaged image. Traditional inpainting algorithms are dependent on specific structure of target images compressive sensing theory makes is possible to realized image inpainting with signal sparsity. This paper proposes a novel inpainting algorithm based on KSVD and MCA algorithm, which first decomposes the image into texture part and structure part, and then trains the two dictionaries for these two parts with KSVD and reconstructs the original image with these two trained dictionaries. Experiment indicates that the proposed algorithm is of better adaptability and performance as compared with traditional algorithms.)

说明：  利用边界匹配算法恢复受损图像寻找最优运动矢量(edge detection function [hough_space,hough_circle,para] = hough_circle(BW,step_r,step_angle,r_min,r_max,p) )

结构相似度函数，数字图像质量评价的一种经典方法(for image quality evaluation)