自己写的用来比较图像的代码VB

实现了甘特图的显示功能（甘特图又叫条形图用于项目管理中的进度管理，它的长度表示工期，起始点表示开工日起，结束点表示完工日起，可以通过鼠标来改变它用来表示改变日期信息），该程序可以用于编写项目管理软件中的甘特图的显示-Achieved Gantt display function (also known as Gantt bar chart for project management in the progress of management, said the length of its duration, the starting point that the start date, end date point, you can mouse to change it used to change the date of information), the program can be used in the preparation of project management software Gantt display

这个程序演示用NEO实现高彩模式下的颜色渐变效果-the procedures used to demonstrate NEO high color mode color fading effect

MOONBASE, 3D Landscape Demo

动态缩略图生成类，可方便生成图片缩略图，只生成一次-Class to generate dynamic thumbnails, image thumbnails can be easily generated, only to generate a

opencv学习笔记（中文）学习opencv已有一段时间，自己的笔记上传下，方便他人

用迭代、峰谷、半阈值算法进行图像分割：-） 包括一个自定义的CDib类-using iterative, peak, semi-threshold algorithm for image segmentation :-) include a defined category CDib

模式识别中的图像纹理分析及应用实例详细程序-pattern recognition of image texture analysis and application examples detailed procedures

这是直接把衣服的纹理图像映射到人体模型上得到的结果,对于准备游戏制作的人而言是在不错!-This is directly clothes texture mapping images of the human model on the results of preparations for the games produced by the people of the good!

用vc实现的人脸图像定位检测系统-A face location detection system using vc

kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP -kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Outpu