development of a fabric softness of a software test code to test fabric Bending...

此源码为用Visual C++编写的显示一花瓶的分形几何程序-This source using Visual C++ Prepared one vase shows the fractal geometric procedure

利用matlab编写的一个中值滤波源程序，希望对大家有用。-Matlab prepared using a median filter source, in the hope that useful to everyone.

数字图象处理中常遇见的图象融合相关源代码-Digital image processing of image fusion is often met the relevant source code

vc++编写的实现图像特效显示的程序，包含详细注释，可以实现各种图像特效显示，强烈推荐-vc Image prepared by the magic show procedures, contains detailed notes, can achieve various effects images, strongly recommended

这是计算机图形学的光照模型，直接可以运行。-This is the illumination of computer graphics model, can run directly.

此源代码为图像处理提供各种基本操作，可以为做实验节约很多时间。-This source code for image processing to provide a variety of basic operations, we can save a lot of time doing experiments.

连通区域标记程序,本程序使用了opencv中图像数据结构：IplImage。算法原理：首先进行第一次扫描，标记连通区域；然后对等价标记进行合并；最后进行第二次扫描，对等价标记进行重新标记。-regional connectivity marking procedures, the procedures for the use of the OpenCV Image data structure : IplImage. Algorithm tenets : first for the first time, scanning, marking regional connectivity; Then equivalent marker for the merger; the final for the second scan, equivalent to re-labeled markers.

这个程序主要是实现一个带孔的多边形的填充，采用了边表，新边表等概念，适合新手看一下。-this procedure is a major hole in a polygon filling, using a side table, side table new concepts suitable for newcomers to see.

VC和OpenGL实现的点云读取界面，需要的朋友可以下载参考-VC and OpenGL realize the point cloud to read interface, the need for a friend can download the reference

vc图像处理比较全面的程序，提供了图象直方图均衡，robert,sobel,prewitt,kirsch,gauss等方法的边缘检测运算，中值滤波，二维FFT变换和DCT变换，图象的反转，旋转等一些基本的图象模板变换和点变换的功能。目前只处理256*256的图象-vc images deal with more comprehensive procedures, provided the image histogram equalization, robert, sobel, prewitt, kirsch, gauss and other methods of edge detection operator, median filtering, two-dimensional FFT transform and DCT transform, image reversal, rotating images, such as some basic templates and point transform transform function. Currently only deal with 256* 256 image