文章基本信息

标题：A CROP ROWS RECOGNITION BASED ON HOUGH TRANSFORM USING TEMPLATE MATCHING
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作者：ZHIBIN ZHANG ; YINGYING LU ; YONGSHENG SONG 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：44
期号：2
页码：172-178
出版社：Journal of Theoretical and Applied
摘要：An improved crop rows detection presented based-Hough transform. In the paper, the two argument of peaks in Hough space were mapped into the Cartesian coordinate system to extract straight line segments fitting the crop rows, in which the template matching was firstly designed to filter the noises from isolated, or scattering points, then the weighted averaging were employed to eliminate line segments family due to the peaks and pseudo-peaks in Hough space. Experiment results showed that the novel crop rows recognition method could extract perfect crop row line segments from real image with strong noises or disturbance, and it was real-time, robust against great area grass, loss of crop row, or lack of crop row information in real image, with high accuracy and availability.
关键词：Field Image; Hough Transform; Crop Row Lines Detection; Visual Navigation