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Proceedings Paper

Application of grey relation analysis in image's edge detection of pests in stored grain
Author(s): Long Zhou; Ming Fang; Xue-zhi Wang; Yi Mou; Mian-yun Chen
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Paper Abstract

The detection method of pests in stored grain is always investigated. The method based on image recognition is often discussed. With development of computer technology, information processing, pattern recognition, intelligence detection, detection method based on image recognition develops fast and becomes main direction of grain pests intelligence detection. This paper puts forward an edge detection algorithm based on grey relation analysis.The importance of image's edge detection based on grey relation analysis in pests image processing is introduced. At first the reference series and compare series are defined. Then the relevant coefficients between the reference series and compare series are calculated to every pixel. Finally, the edge detection is processed and its application in image's of pests in stored grain is discussed. The examples show that the method can detect the image's edge of pests in stored grain better.

Paper Details

Date Published: 10 July 2009
PDF: 6 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890A (10 July 2009); doi: 10.1117/12.836893
Show Author Affiliations
Long Zhou, Wuhan Polytechnic Univ. (China)
Ming Fang, Wuhan Polytechnic Univ. (China)
Xue-zhi Wang, Wuhan Polytechnic Univ. (China)
Yi Mou, Wuhan Polytechnic Univ. (China)
Mian-yun Chen, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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