计算机应用与软件2013，Vol.30Issue(4)：75-76,84,3.DOI:10.3969/j.issn.1000-386x.2013.04.021
基于Gabor滤波和类内PCA的昆虫识别
INSECT RECOGNITION BASED ON GABOR FILTER AND WITH-IN CLASS PCA
摘要
Abstract
This paper proposes an insect recognition method based on Gabor filter and with-in class PCA in view of the low insect recognition rate. First, the pre-processed insect images are conducted Gabor filtration according to their category and extracts Gabor feature, then PCA is used to reduce the dimensionality followed by extracting the eigenvectors, at last k nearest neighbour classification is adopted to recognise the insects. Experiments show that this method has a high recognition rate, according to the test on 15 kinds of insects collection, the recognition rate is up to 95% , better than the insect recognition methods based on PCA and on Gabor filter plus PCA.关键词
Gabor滤波/PCA/昆虫识别Key words
Gabor filter/ Principal component analysis ( PCA)/ Insect recognition分类
信息技术与安全科学引用本文复制引用
范一峰,王义平..基于Gabor滤波和类内PCA的昆虫识别[J].计算机应用与软件,2013,30(4):75-76,84,3.基金项目
国家自然科学基金项目(31071970) （31071970）
国家林业公益性行业科研专项(重大)项目(201304403) （重大）
浙江省林业厅项目(08A12). （08A12）
