Study on Image Recognition of Insect Pest of Sugarcane Cotton Aphis Based on Rough Set and Fuzzy C-means Clustering

Authors:
Jinhui Zhao;Muhua Liu;Mingyin Yao
Affiliations:
-;-;-
Venue:
IITA '09 Proceedings of the 2009 Third International Symposium on Intelligent Information Technology Application - Volume 02
Year:
2009

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An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant

Applied Intelligence

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Abstract

Sugarcane cotton aphis is a common insect pest in China. Rough set and fuzzy C-means clustering were applied to identify the insect pest of sugarcane cotton aphis. Rough set was used to obtain the characteristic parameters of identify insect pest of sugarcane cotton aphis. Then, fuzzy C-means clustering was used to extract the regions of the insect pest of sugarcane cotton aphis. The experimental results showed that 17 images were segmented correctly and the accurate rate of the segmentation was 85%.