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Proceedings Paper

Fourier descriptors and recognition of plant disease spores
Author(s): Nongliang Sun; Maoyong Cao
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Paper Abstract

The number of plant disease spores in the air is a key factor for plant disease forecasting, so the realization of recognition and counting of spores by using computer has great significance. The digital image of plant disease is pre-procesed and the Fourier Description characteristics are studied for the first time in this paper. Based on this, reliable recognition of spores is realised according to 3σ rule. It can be seen from the experimental results that the probability of recognition for non-overlapping spores is 99.5 percent, and the probability of erroneous judgment that the noise and overlapping spores are recognized as spores is 0 percent.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538672
Show Author Affiliations
Nongliang Sun, Shandong Univ. of Science and Technology (China)
Maoyong Cao, Shandong Univ. of Science and Technology (China)
Tianjin Univ. (China)
CME (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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