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双目视觉图像处理算法的优化
引用本文:郝捧华,龚国庆,陈勇. 双目视觉图像处理算法的优化[J]. 北京机械工业学院学报, 2012, 0(5): 64-67,72
作者姓名:郝捧华  龚国庆  陈勇
作者单位:北京信息科技大学机电工程学院,北京100192
基金项目:北京市教育委员会科技发展计划面上项目(KM200811232002); 北京市优秀人才项目(20071D050600168); 北京市教委科研基地-科技创新平台-新能源车辆技术研究开发平台项目(PXM2012_014224_000023)
摘    要:双目视觉图像处理系统涉及标定、匹配等流程,较单目视觉要复杂很多,计算繁琐。针对这一问题,根据智能汽车的实验环境对标定模型进行了简化,将预处理的多种算法,进行了对比分析,并根据汽车道路图像处理目的选出了合适的预处理算法,改进了图像预处理技术,增强了图像处理效果,提高了处理效率,并通过实例验证了改进之后的预处理技术的适用性和可行性。

关 键 词:双目视觉  图像处理  标定

Algorithm optimization of binocular vision image processing
HAO Peng-hua,GONG Guo-qing,CHEN Yong. Algorithm optimization of binocular vision image processing[J]. Journal of Beijing Institute of Machinery, 2012, 0(5): 64-67,72
Authors:HAO Peng-hua  GONG Guo-qing  CHEN Yong
Affiliation:(School of Electromechanical Engineering,Beijing Information Science and Technology University,Beijing 100192,China)
Abstract:Binocular vision image processing system is more complex compared with monocular vision,which involves calibration,image matching and so on.On the basis of the car experimental conditions,the calibration process is simplified,and comparative analysis of different kinds of preprocessing algorithms is made.The proper preprocessing algorithm is selected according to the image processing purpose of automobile and road,hence the image preprocessing is improved.Some examples are given and the results show that the effect of image processing is better and the computation efficiency is higher.
Keywords:binocular vision  image processing  calibration
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