An automatic detection method to the field wheat based on image processing

Yu Wang; Zhiguo Cao; Xiaodong Bai; Zhenghong Yu; Yanan Li

doi:10.1117/12.2031139

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26 October 2013 An automatic detection method to the field wheat based on image processing

Yu Wang; Zhiguo Cao; Xiaodong Bai; Zhenghong Yu; Yanan Li

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Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180F (2013) https://doi.org/10.1117/12.2031139
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

The automatic observation of the field crop attracts more and more attention recently. The use of image processing technology instead of the existing manual observation method can observe timely and manage consistently. It is the basis that extracting the wheat from the field wheat images. In order to improve accuracy of the wheat segmentation, a novel two-stage wheat image segmentation method is proposed. Training stage adjusts several key thresholds which will be used in segmentation stage to achieve the best segmentation results, and counts these thresholds. Segmentation stage compares the different values of color index to determine which class of each pixel is. To verify the superiority of the proposed algorithm, we compared our method with other crop segmentation methods. Experiment results shows that the proposed method has the best performance.

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Yu Wang, Zhiguo Cao, Xiaodong Bai, Zhenghong Yu, and Yanan Li "An automatic detection method to the field wheat based on image processing", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180F (26 October 2013); https://doi.org/10.1117/12.2031139

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