10 July 2009 A CP-based data mining method on image processing of agricultural engineering
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Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890S (2009) https://doi.org/10.1117/12.836879
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
Remote sensing produces large volumes of data. In this paper, we provide a MDR (multi-directions-relation) algorithm for edge detection. Many methods reduce the noise before further detection. It might lose some useful information. We consider the method to detect the edge and reduce the noise synchronously, in order to keep more information in the image for detection. Afterwards, we discuss on the setting of the parameters carefully. One of the parameters implies the number of the edge points in one line. If you have some information about the edges beforehand, it will improve the accuracy through fixing it, otherwise, the algorithm adjust the value automatically. The experiments show that the algorithm is faithful to the source and is good at dealing the detail of images. That means this CP-based data mining method can reduce image data greatly.
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Yizhang Guan, Yizhang Guan, } "A CP-based data mining method on image processing of agricultural engineering", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890S (10 July 2009); doi: 10.1117/12.836879; https://doi.org/10.1117/12.836879
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