这是一个PHOTOSHOP源码文件，适合图像处理人员使用。

C语言图象处理代码，适合于用C进行图象处理的人！-C language code image processing, C-suited to image processing for the people!

该算法为领域标记程序，可以检测 blob 区域-the algorithm for field marking procedures can detect regional blob

图像灰度变换的一般算法：图像反色，线性变换，阈值分割，灰度均衡，直方图显示-The image gray-scale transformation of the general algorithm: Image anti-color, linear transformation, threshold segmentation, gray balance, histogram display, etc.

本程序包括一些腐蚀程序，图像通过代码自己生成，并对其进行一些腐蚀处理-This procedure includes a number of corrosion process, its own image through code generation, and some corrosion treatment

射线法判断点是否在多边形内部.多边形顶点坐标通过文件polygon.txt输入,点的从标从键盘输入.-ray method to judge whether a polygon internal. Polygon vertices through documents polygon.tx t input, from the point of targets from the keyboard input.

这是俄罗斯的一个博士的博士论文的配套源码，实现了GRAPH CUT用于立体视觉的匹配，它改善了传统GRAPH CUT计算耗时的缺点，他还因此称为微软一员，专门从事GRAPH CUT在图像处理上的应用。程序写的很精简，写的很好，反复学过很多遍，这也是C/C++爱好者提高编程能力的一个很好的学习样本，很值得仔细反复阅读。-This is a Russian doctoral thesis, Dr. supporting source, realize the GRAPH CUT for stereovision matching, which improves the calculation of time-consuming traditional GRAPH CUT shortcomings, he also is why they are called a Microsoft, which specializes in GRAPH CUT in image processing applications. Procedures written in very concise, well written, repeatedly studied many times before, this is C/C++ Lovers programming ability to enhance a good learning samples, it is worth reading carefully repeated.

vc++图像处理典型算法与实现的后半部分源代码，对搞图像处理的人参考价值！-vc++ typical image processing algorithm and the realization of the latter part of the source code, for those who engage in image processing reference value!

关于音频信号的采集和回放的c++程序，且在dsp上实现-audio signal on the collection and the intervals c procedures, and achieve the dsp

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

计算机图形图像学基础算法实验软件包,包含大多数基本图象处理算法程序。-computer graphics and video algorithm based on experimental learning packages, including most of the basic image processing algorithm procedures.