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Proceedings Paper

An automatic detection method to the field wheat based on image processing
Author(s): Yu Wang; Zhiguo Cao; Xiaodong Bai; Zhenghong Yu; Yanan Li
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Paper 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.

Paper Details

Date Published: 26 October 2013
PDF: 8 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180F (26 October 2013); doi: 10.1117/12.2031139
Show Author Affiliations
Yu Wang, Huazhong Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)
Xiaodong Bai, Huazhong Univ. of Science and Technology (China)
Zhenghong Yu, Huazhong Univ. of Science and Technology (China)
Yanan Li, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8918:
MIPPR 2013: Automatic Target Recognition and Navigation
Tianxu Zhang; Nong Sang, Editor(s)

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