10 July 2009 Application of grey relation analysis in image's edge detection of pests in stored grain
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Long Zhou, Ming Fang, Xue-zhi Wang, Yi Mou, 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); doi: 10.1117/12.836893; https://doi.org/10.1117/12.836893
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT


Back to Top