Otsu algorithm can be said to be adaptive to calculate the single threshold (for...

用于对数字图像的处理，初步调研对数字图像的基本处理方法，用cvi实现图像处理界面及函数。最后针对特殊应用进行试验，给出源程序。-used for digital image processing, preliminary research on the basic digital image processing methods, cvi achieved using image processing and interface functions. Finally special application test, given the source.

基于数学形态学的模糊边缘检测算法，及相关的开闭运算等-based on mathematical morphology of the fuzzy edge detection algorithms, and related opening and closing, etc.

数字图像处理程序源代码，功能丰富，包括图像增强，图像边缘检测与分析，几何变换，压缩编码，图像复原等-Digital image processing source code, feature-rich, including image enhancement, image edge detection and analysis, geometric transformations, compression coding, image restoration, etc.

这是用vc++进行图像变换的源代码，hough变换-This is used vc++ Image transform source code, hough transform

24位与256位图间的相互转换 转换24位真彩色文件到黑白灰度BMP图片 可提供处学者参考-24 and 256 map conversion conversion between True Color 24-bit grayscale BMP file to black and white picture can provide scholars Reference Department

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

hough变换的一些经典文章，可供参考。-hough transform a number of articles for reference.

Visual c++ MATLAB图像处理与识别 书盘源码上传0000000004－－第4章-Visual c MATLAB image processing and recognition site source book Upload 0000000004-- Chapter 4

程序利用svm分类结合bp算法完成图像中的分类和预测问题，这是模式识别中的一个比较新颖的方法。-svm procedures for the use classification algorithm combining bp image classification and prediction, This is the pattern recognition of a relatively new method.

利用模糊C均值聚类法实现彩色图像分割，Visual c++ 6.0 实现。-color image segmentation using C-means clustering, implementation by Visual c++ 6.0