模式识别常用函数，包括模式融合、PCA、LDA等经典算法

区域生长法获取图像边界 必须有种子 可以有很多方法 这里直接鼠标点击-Region growing method to obtain the image the border must have a lot of methods of seed can have a direct mouse click here

遗传算法用于菌落图像分割。遗传算法其固有的并行性和不易陷入局部最优的特点使之非常适于大规模搜索空间的寻优，使图像分割产生的误差最小，为解决图像分割中的参数选择难题提供了有力的保障。附有程序清单-A New Model for Image Segmentation

人脸眼睛分割源程序，可以很好的标分出瞳孔的位置以及大小。-face separate source eyes, a good standard of the separation of the position of the pupil size.

图象拼接SIFT算法的C原代码--加州大学一个博士生编的.下面是它的几个不同的版本,挑着用吧!-sciences image stitching algorithm C source code-- the University of California, a doctoral student in the series. Below are several of its different versions carry a use!

彩色RGB图像四叉树分割的程序，找了好久才找到的。Improve together-RGB color images quadtree segmentation procedures for a long time to find the. Improve together

呵呵，本人目前没有编程序，以后会传的。现在先给大家分享一些资料-Ha ha, I is not programmed, it will spread. Now give some information to share with you

AppWizard has created this bmptest application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your bmptest application.-AppWizard has created this bmptest applic ation for you. This application not only demons trates the basics of using the Microsoft Founda tion classes but is also a starting point for wri ting your application. This file contains a sum mary of what you will find in each of the files tha t make up your bmptest application.

采用matlab求解矩阵的逆.本程序采用完全的c语言格式在matlab平台下编制-Using matlab to solve the inverse matrix. This procedure completely the c language format in the preparation of matlab platform

YUV文件CIF格式的解码 运行后双击可以显示画面．ＡＬＴ＋Ｆ４关闭-CIF document YUV format decoder running after double-click the screen can show. ALT+ F4 to close

This code implements the well-known Chan-Vese segmentation algorithm from the paper "Active Contours Without Edges." This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions. The technique is very robust to initialization and gives very nice results when there is a difference between the foreground and background means. This code uses active contours and level sets in the implementation. It could also serve as a good framework for implementing all kinds of region-based active contour energies. 1.) Download 2.) Unzip 3.) Run >>region_seg_demo See this site for experiments, videos, and more information on segmentation, active contours, and level sets: [ http://www.shawnlankton.com/2007/05/active-contours/ ]