计算机应用研究2012，Vol.29Issue(6)：2329-2331,2335,4.DOI:10.3969/j.issn.1001-3695.2012.06.087
面向光流分析的机器人红外视觉图像对预处理
Infrared image pair pretreatment method for optical flow analysis of robot
摘要
Abstract
In order to enhance the environment perception ability of the monocular vision system in the darkness and to improve the correct rate of the optical flow calculation, this paper investigated infrared image pair pretreatment method for optical flow analysis and proposed an algorithm based on processing in both in space domain and transform domain. First, histogram e-qualization algorithm was used to balance the brightness difference between the image pair in space domain. This also improved their brightness. Then was applied the nonsubsampled Contourlet transform to the images. In the transform domain, it categorized the strong edges, weak edges and the noise points according to their property of geometric manifolds. And it kept strong edges,enhanced weak edges and eliminated the noises. Finally, it implemented the images by reconstructing the new coefficients. This method not only balances the brightness but also enhances the image texture and de-noises the image. The experimental results show that the pretreatment improves the optical flow correct rate. So this method can improves the perception a-bility of monocular vision system for a mobile robot.关键词
机器人视觉/红外图像/光流/直方图均衡化/非下采样Contourlet变换Key words
robot vision/infrared image pair/optical flow/histogram equalization/nonsubsampled Contourlet transform(NSCT)分类
信息技术与安全科学引用本文复制引用
韩震峰,刘刚峰,赵杰..面向光流分析的机器人红外视觉图像对预处理[J].计算机应用研究,2012,29(6):2329-2331,2335,4.基金项目
国家"863"计划资助项目(2007AA041501) （2007AA041501）
