OpenCV 源代码 CHM 格式! 适合于计算机视觉和图像处理开发!

track1.m是二值图像边界跟踪的主程序，boundary_trace.m是二值图像边界跟踪的调用程序，完成图像的边界跟踪。 track2.m是灰度图像边界跟踪的主程序，boundary_trace2.m是灰度图像边界跟踪的调用程序。-track1.m is a binary image of the main border track, boundary_trace.m is a binary image border call tracking procedure to track the completion of the border image. track2.m gray image is the border of the main track, boundary_trace2.m is a gray image boundary tracking procedure call.

图形应用、界面设计、图形处理、数值分析的一些实例，是学习matlab的极大帮手。 -Graphics applications, interface design, graphics processing, numerical analysis of some examples is a great help to learn matlab.

1.达芬奇图像处理平台总体开发情况 2.non-xdm算法-1. Leonardo da Vinci image processing platform for the overall development of algorithms 2.non-xdm algorithms

转载的一个对图像进行简单处理的程序。挺好的，建议大家看一看。-Reproduced in a simple image processing procedures. Quite good, it is recommended you take a look at.

能实现8位BMP灰度化，二值化的图像处理纯C语言编写的源代码-To achieve 8 BMP gray and binary image processing pure C language source code

图象平滑处理的源代码 用VC6.0调试 图象平滑处理的源代码 用VC6.0调试-Image smoothing treatment of the source code with VC6.0 debug image smoothing treatment of the source code with VC6.0 debugger

H.264+ffmpeg解码器的样例程序-H.264+ Ffmpeg codec sample program

用于处理bmp图象 引用地址：http://blog.programfan.com/trackback.asp?id=13315-bmp image processing for use Address : http :// blog.programfan.com/trackback.asp id = 13 315

The algorithm is based on “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner. -The algorithm is based on

这是2004年一篇重要的角点检测文献的配套Matlab源码。该算法的效果比SIFT、Harris、Susan等算法的检测效果更好。本压缩包中有从Matlab官方网站下载的源码，以及2004年那篇文献，对该算法做了详细解释。-This is 2004, an important corner detection literature supporting Matlab source code. Of the algorithm is better than SIFT, Harris, Susan, such as better detection algorithm. The compressed package from the official website to download the Matlab source code, and in 2004 came across the literature, the algorithm to do a detailed explanation.