Fourier descriptors and recognition of plant disease spores

Nongliang Sun; Maoyong Cao

doi:10.1117/12.538672

25 September 2003 Fourier descriptors and recognition of plant disease spores

Nongliang Sun, Maoyong Cao

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538672
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Nongliang Sun and Maoyong Cao "Fourier descriptors and recognition of plant disease spores", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538672

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