区域生长法

基于K-means的优化聚类中心的图像分割算法，改进了FCM算法的缺点(Based on the optimization of K-means clustering center image segmentation algorithm to improve the shortcomings of the FCM algorithm )

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )

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)

此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分(The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts)

说明：  实现旋转运动模糊图像的仿真，采用matlab工具来实现。(emluate rotation blurred images)

支持向量机的MATLAB源程序，效果真的很不错(SVM MATLAB source, the effect is really very good)

KMEANS代码段，用于图像分割，已配置完成(KMEANS,use to achieve image segmentation)

Large Deviations for Gaussian Queues - Modelling Communication Networks - Michel Mandjes

图像的二值化，并对图像做膨胀，腐蚀，开、闭操作，以及细化处理等通过用matlab高级语言编写数字图像处理的一些基本算法程序(Binarization image, and image to do the expansion, corrosion, open and close operation, as well as refining processing through high-level language matlab digital image processing procedures for some of the basic algorithm)

说明：  应用三维重构原理对二维平面图形重建成三维图像。(Application of the principle of three-dimensional reconstruction of two-dimensional graphical reconstruction into three-dimensional image.)