任意构建多边形，然后填充多边形区域。填充颜色可以任意选取。...

理论上实现无噪信道的信噪比的比较，在快跳频中-Theoretically achieve the noise-free channel SNR comparison of the fast frequency hopping

一个基于VS2003的nems电压驱动梁电阻阻值修正程序，里面有二值化算法。-Nems based on the VS2003 beam voltage resistance amendment procedure, there are binarization algorithm.

图像恢复的几个程序，旋转恢复是用vc写的，其余是matlab的，这几个程序比较挑图像，如果一幅效果不好，换一个做，图像恢复程序大都这样。

设计算法把一个十进制的整数转换为二至九进制之间的任一进制数输出-Design algorithm to convert a decimal integer between 2-9 binary output of either one decimal number

几个常用图像处理程序源码，vc 6.0 sp6+windows2000 sp4调试通过-several commonly used image-processing program source code, vc 6.0 SP6 windows2000 Explorer debugging through

一种改进的方法，自适应的高斯chirplet分解信号，文章很深入的讲解了退到过程。-a fast refinement for adaptive gussian chirplet decoposition

图像细化和细化后处理，线细化是处理线状二值图像的一种重要技术。-refining and refined image post-processing, refining line is handling linear binary image of an important technology.

OTSU算法是一个可以稳定获取图像分割阈值的好方法，本人根据其思想，编译了一个函数，可以方便您的调用，自适应的获取图像的阈值，-OTSU algorithm is a segmentation threshold can be stabilized to obtain the value of a good way, in accordance with their thoughts, to compile a function, you can easily call adaptive image acquisition threshold,

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

TI DSP DM642程序, 图像处理中值滤波算法-TI DSP DM642 procedures, image processing, median filtering algorithm