利用数学形态学对云层背景下的目标进行检测识别，有两种方法。...

此程序代码是用于人脸识别的MATLAB代码，-facecong

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

一本MATLAB书籍的代码，主要可以帮助刚学习图像处理的同志做参考用。-A MATLAB code books, mainly to help the comrades just to learn to do image processing reference.

数字图象处理目前应用极其广泛，可以处理日常生活中的各种问题，这里给出车辆识别vc源程序-Digital image processing is currently an extremely wide range of applications and can handle various aspects of daily life, here given vehicle identification vc source code

android的内核分析的文章，一个相当不错的文档！希望能对大家有所帮助！-android kernel analysis of articles, a pretty good document! Hope you can help!

连接边缘算法提取的孤立点，实现图像边缘连接-link the point to get edges in the image

小波融合算法的实现 可以直接进行运行 质量很好。 -fusion

一个指纹识别系统，前对很多指纹训练，入库，就可以识别出其他的指纹到底是否属于库里人的-A fingerprint identification system, the former for many fingerprint training, warehousing, we can identify fingerprints in the end whether or not other people are Curitiba

awimg=rgb2gray(im1) tic [accum, circen, cirrad] = CircularHough_Grd(rawimg, [20 30],5,50) circen toc figure(1) imagesc(accum) axis image title( Accumulation Array from Circular Hough Transform ) figure(2) imagesc(rawimg) colormap( gray ) axis image hold on plot(circen(:,1), circen(:,2), r+ ) for k = 1 : size(circen, 1), DrawCircle(circen(k,1), circen(k,2), cirrad(k), 32, b- ) end hold off title([ Raw Image with Circles Detected , ... (center positions and radii marked) ]) figure(3) surf(accum, EdgeColor , none ) a

图像分割与特征提取 C开发 The picture division and the characteristic withdraw--C development -Image Segmentation and Feature Extraction C Development The picture division and the characteristic withdraw- C development