| 基于小波变换的陆轨两用车铁轨图像边缘检测 |
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| 引用本文： | 张振国,曲菲,李志逢. 基于小波变换的陆轨两用车铁轨图像边缘检测[J]. 黑龙江电子技术, 2013, 0(10): 66-69 |
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| 作者姓名： | 张振国 曲菲 李志逢 |
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| 作者单位： | 上海理工大学光电信息与计算机工程学院,上海200093 |
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| 基金项目： | 上海市重点课程建设项目（1K-12-302-003） |
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| 摘 要： | 为了能够实时采集铁轨图像以实现陆轨两用车在站台与铁轨之间顺利切换,介绍了一种基于多尺度小波变换和自适应阈值的图像处理方法,选用二次B样条小波对图像传感器采集到的铁轨图像进行多尺度边缘检测,结合了非极大值抑制方法和自适应阈值方法提取最终边缘图像.对比几种经典的边缘检测算子,小波变换的图像边缘检测对铁轨图像的处理结果较好,实现了路轨两用电动车陆/轨转换的准确定位.
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| 关 键 词： | 多尺度小波变换 非极大值抑制 自适应阈值 边缘检测 |
Road-rail vehicle tracks image edge detection based on wavelet transform |
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| ZHANG Zhen-guo,QU Fei,LI Zhi-feng. Road-rail vehicle tracks image edge detection based on wavelet transform[J]. , 2013, 0(10): 66-69 |
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| Authors: | ZHANG Zhen-guo QU Fei LI Zhi-feng |
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| Affiliation: | ( School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China) |
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| Abstract: | In order to get real-time acquisition of rail images which aims at accomplishing successful conversion of the road-rail vehicles between the site and the railroad tracks, this paper introduces a method of image processing based on multi-scale wavelet transform and adaptive threshold. It choses the way of compactly supported quadratic B-spline wavelet to make a multi-scMe edge detection of the rail image acquisition from the t~ansducer, and gets the final edge image by combining the methods of non- maximal suppression and adaptive threshold. Tt compares several classical operator of edge detection, the processing results of rail image by image edge detection based on wavelet are much better, which means the accomplishment of the exact location of the road/rail conversion of road-rail vehicle. |
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| Keywords: | multi-scale wavelet transform non-maximal suppression adaptive threshold edge detection |
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