显示小波各尺度处理后的结果，很完整的GUI界面，强推！

用于BF533处理器的Ycbcr与RGB的转换。-BF533 processor for YCbCr and RGB conversion.

图像频率域滤波程序，课程设计作业，获优秀，完全自主开发，包含搞通滤波、低通滤波、带通滤波以及方向滤波。含ＧＵＩ-image frequency domain filtering procedures, curriculum design work, outstanding, fully self-development, including engaging pass filtering, low-pass filtering, band-pass filtering and filtering direction.- GUI

中值滤波：采用5*5窗口对噪声污染的图像进行去噪处理。-Median filter: 5* 5 window on the noise pollution to deal with the image de-noising.

此程序是用于边缘检测的MATLAB程序段，可以很好的用于边缘检测-edge defect

本实例是用VC代码实现的计算机图形学有关裁剪方法。用于视图区图形的输出。

此资源将所有OpenCV中的代码制作成chm格式，并且提供代码之间以及数据结构之间的链接功能，方便大家阅读。读代码是好习惯，读成熟可信的代码更是好的选择。-This resource in all the OpenCV code into chm format, as well as between the code and provides the link between data structures function to facilitate everyone to read. Are well used to read the code, read code more sophisticated and credible selection are good.

《数字图像处理编程入门》，非常容易上手，文字后有现成的通过运行的程序，是清华一位博士写的-Introduction to digital image processing program, very easy, after the language has ready-made by running the procedure, a doctor is written by Tsinghua

一个不错的形态学图像处理的例程，结合openCV使用，对于初学者会有帮助。-A good morphological image processing routines, combined with openCV use, would be helpful for beginners.

Spite压缩源码，matlab编写，希望对您能有很大帮助-Spite compressed source, Matlab prepared, and I hope to you can be of great help

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result