The Extraction Algorithm of Crop Rows Line Based on Machine Vision

Abstract : The accuracy of crop rows line extraction is the key to the automatic navigation of agricultural machinery. In the paper, an improved algorithm is proposed to solve the problem of poor connectivity, single pixel and redundant pixels. Firstly, image pre-processing operations is used in order to obtain a binary image, then the binary image is thinned. In the refinement process, the connectivity of the skeleton is maintained by the introduction of Euclidean distance. Experimental results show that the proposed method has good adaptability to the row crop, and the skeleton lines that are extracted is more accurate. Compared with the traditional algorithms, the error of the navigation line is relatively small by using this algorithm, which could meet the needs of the practical application.
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Daoliang Li; Zhenbo Li. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-478 (Part I), pp.190-196, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48357-3_18〉
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Zhihua Diao, Beibei Wu, Yuquan Wei, Yuanyuan Wu. The Extraction Algorithm of Crop Rows Line Based on Machine Vision. Daoliang Li; Zhenbo Li. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-478 (Part I), pp.190-196, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48357-3_18〉. 〈hal-01557961〉

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