Research on Grassland Demarcation Line Extraction Based on Improved Least Squares Method
DOI: 10.23977/jipta.2019.21001 | Downloads: 23 | Views: 1573
Yin Yalin 1, Hu Lianjun 2, Song Hong 3
1 School of Automation and Information Engineering, Sichuan University of Science and Technology. Yibin City, Sichuan Province, China
2 School of Mechanical Engineering, Sichuan University of Science and Technology. Yibin City, Sichuan Province, China
3 Sichuan University of Science and Technology. Yibin City, Sichuan Province, China
Corresponding AuthorYin Yalin
The rapid development of mobile robots has made intelligent mowing robots widely concerned. The dividing line between grassland and non-grass is an important reference for robots to carry out mowing navigation.Aiming at this problem, this paper proposes a grassland boundary line extraction algorithm based on improved least squares method based on image segmentation binary image.Firstly, the corner point in the image is detected by the Shi-Tomasi algorithm, and the approximate range of the grass boundary line is obtained. Then, the modified corner point is fitted by the improved least squares method, and finally the boundary line between the grassland and the non-grass is obtained. Finally, three straight line fitting methods were compared by experiments. The results show that the improved least squares method has the best effect and the fastest running speed.
KEYWORDSIntelligent mowing robot; Corner detection; Straight line fitting; Least squares
CITE THIS PAPER
Yin Yalin, Hu Lianjun and Song Hong, Research on Grassland Demarcation Line Extraction Based on Improved Least Squares Method, Journal of Image Processing Theory and Applications (2019) Vol. 2: 1-7. DOI: http://dx.doi.org/10.23977/jipta.2019.21001.
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