Application of grey relation analysis in image's edge detection of pests in stored grain

Long Zhou; Ming Fang; Xue-zhi Wang; Yi Mou; Mian-yun Chen

doi:10.1117/12.836893

10 July 2009 Application of grey relation analysis in image's edge detection of pests in stored grain

Long Zhou, Ming Fang, Xue-zhi Wang, Yi Mou, Mian-yun Chen

Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890A (2009) https://doi.org/10.1117/12.836893
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Long Zhou, Ming Fang, Xue-zhi Wang, Yi Mou, and Mian-yun Chen "Application of grey relation analysis in image's edge detection of pests in stored grain", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890A (10 July 2009); https://doi.org/10.1117/12.836893

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available