期刊
COMPUTERS AND ELECTRONICS IN AGRICULTURE
卷 174, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2020.105472
关键词
Navigation path; Autonomous navigation; Vision system; Median point Hough transform; Machine vision
资金
- National Natural Science Foundation of China
- Natural Science Foundation of Guangxi [2017GXNSFBA198228]
- Guangxi Science and Technology Project [AD19110034]
- Guangxi Young Teacher Promotion Program [T3010098018]
- Guangxi Advanced Manufacturing Laboratory Project [16-38012S001]
The extraction of navigation paths is essential for the autonomous navigation of an agricultural robot. As most of the current navigation path extraction algorithms are time-consuming, difficult and susceptible to interference, the median point Hough transformation algorithm was proposed in this paper based on an optical system to fit the navigation paths of a greenhouse tomato-cucumber spraying robot quickly and accurately. The algorithm consists of four parts: interception of the target area, image segmentation, navigation points extraction and navigation path fitting. Image segmentation was based on the improved grayscale factor and Otsu method to achieve the segmentation of soil and plants. The navigation points then were extracted based on the relative coordinate center of the white pixel points of the binary image. Finally, the navigation path was fitted by the median point Hough transformation method. The experimental results show that the maximum error of the navigation path fitted by the improved Hough transformation was 0.5 degrees and the time taken was 7.13 ms, which is 45. 24 ms faster than the traditional Hough transform and on average 5.1 degrees more accurate than the least squares method.
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