edge

本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档(toolbox is a collection of Matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods)

最大熵双阈值分割算法，基于遗传算法优化的快速最大熵双阈值分割算法。(Maximum Entropy Double Threshold Segmentation and Fast Maximum Entropy Double Threshold Segmentation Based on Genetic Algorithms.)

粒子滤波跟踪，还算不错的一个demo，调试验证可以通过(Particle filter tracking, fairly good one demo, debug and verify through)

一种基于彩色图像分割的余弦相似度的快速的谱聚类算法(A Fast Spectral Clustering Algorithm Based on Cosine Similarity for Color Image Segmentation)

利用自适应算法matlab程序来处理图像，弥补了直方图均衡化的缺点(Adaptive algorithm matlab program to process images, to make up for the shortcomings of the histogram equalization)

sift算法，特征点的提取与匹配，图像融合，图像拼接。测试过，效果不错，特征点提取较稳定。(Sift u7B97 u6CD2 uFF0C u7279 u5F1 u70B9 u7684 u63D0 u53D6 u4E0E u5339 u914D uFF0C u56FE u50CF u878D u5408 uFF0C u56FE u50CF u62FC u63A5 u3002 u6D4B U8BD5 u8FC3 uFF0C u6548 u679C u4E0D u9519 uFF0C u7279 u5F81 u70B9 u63D0 u53D6 u8F83 u7A33 u5B9A u3002)

利用matlab来对数据进行其各种对应的变换和相位获取(Matlab is used to transform the data and acquire phase)

说明：  对指纹进行识别，通过gabor进行指纹增强，然后细化得到结果(Fingerprints were identified and enhanced with gabor, and the results were refined)

beta过程+稀疏表示，做单帧超分辨率重建(single imagle super-resolution by beta process)

立体程序，调试过能用，包括摄像机的标注，图像的立体分析，希望能帮到大家(Three-dimensional program, debug can be used, including the camera label, three-dimensional image analysis, I hope to help everyone)