Detection for Weak Navigation Line for Wheat Planter Based on Machine Vision

Abstract:

In order to realize automatic operation for a wheat planter in a field, an algorithm was developed in the research to detect navigation line under sowing operating environment with weak navigation information based on machine vision. Wavelet transform, linear analysis and front and rear frame interrelated were used to get candidate points at regional boundary in the image. Then linear fitting of the candidate points was carried out using the Passing a Known Point Hough Transform. Sowing videos captured under different natural conditions, in different regions were used to test the performance of the algorithm. Results show that the algorithm is able to detect ridge line, sowing line and field end accurately, steadily and quickly, the average processing time for each frame is about 30ms.

• Periodical: Applied Mechanics and Materials (Volumes 246-247)
• Pages: 235-240
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.246-247.235
• Online since: December 2012
• Authors: Yang Liu, Bing Qi Chen
• Keywords: Association Analysis, Machine Vision, Wavelet Transform (WT), Weak Navigation Line, Wheat Sowing

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[15] Acknowledgements: This research was supported by the National Natural Science Foundation of China under Grant No. 31071329.