集成技术Issue(6)：51-53,3.
一种基于顶帽变换和Otsu阈值的轨道边缘提取方法
Extraction of Railway Track Edge Based on Top Hat Transform and Otsu Thresholding
李孟歆 1侯丁丁 1夏兴华 1许伟靖 1范静静1
作者信息
摘要
Abstract
In order to locate the edge in the rail obstacle recognition, an improved algorithm for rail image’s edge extraction based on threshold segmentation with the features of rail images was proposed. Firstly, the main gray area of the rail was deifned, to ifnd the grayscale threshold through Otsu. The connected component in binary image was labeled so that clear edge image was extracted. Several edge extraction methods such as edge gradient operator sobel, wavelet segmentation algorithm, Otsu adaptive thresholding, were analyzed and applied in real-time rail image, and comparison experiments were conducted with that using the improved Otsu method. Experimental comparison results show that the experimental results by the improved method were more accurate and complete, with background noise being suppressed effectively.关键词
Otsu/自适应阈值/边缘提取/二值化处理Key words
Otsu/adaptive threshold/edge extraction/binarization processing引用本文复制引用
李孟歆,侯丁丁,夏兴华,许伟靖,范静静..一种基于顶帽变换和Otsu阈值的轨道边缘提取方法[J].集成技术,2013,(6):51-53,3.
