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A ROBUST APPROACH TO OBTAIN A CROP EDGE BASED ON WAVELET FILTER AND FUZZY RECOGNITION

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Automation Technology for Off-Road Equipment,Proceedings of the 7-8 October 2004 Conference (Kyoto, Japan)Publication Date 7 October 2004  701P1004.(doi:10.13031/2013.17816)
Authors:   F. M. Zhang, Y.B. Ying, Q. Zhang
Keywords:   Machine vision, Wavelet filter, Fuzzy pattern recognition, Edge detection

This paper intended to investigate an innovative method of detecting crop cut-uncut edge for agricultural vehicle guidance systems. Unlike traditional image segmentation-based approaches, this approach tries to recognize a step at the edge position in pixel intensity curve. It includes thresholding strategy by a histogram statistic, pixel intensity curve smoothness by wavelet filter algorithm, step recognition by a fuzzy pattern recognition algorithm, and edge-line extraction by a linear regression method. The approach has been used to extract edge-line of paddy field with a RMS intercept error of 7 pixels, and the RMS slope error of 1.11. The validation results show that this method is capable of getting crop cut-uncut edge reliably.

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