DocumentCode
3201974
Title
The Research of Feature Extraction Methods in the Tomatoes Detection
Author
Wang Xiao-liang ; Guan Xiao-Hui ; Wang Jian-yuan ; Yang Yong-qing ; Liu Hai-yan
Author_Institution
Office of Acad. Affairs, Northeast Dianli Univ., Changchun, China
fYear
2012
fDate
8-10 Dec. 2012
Firstpage
702
Lastpage
705
Abstract
Feature selection can reduce the feature space dimension and improve recognition. In the discriminatory fresh degree of tomatoes by electronic nose, it used three kinds of feature extraction methods: sheath coefficient characteristics, similitude entropy characteristics and the energy characteristics, and the three methods were compared respectively. The results showed that similitude entropy characteristics feature extraction methods has its advantages in electronic nose detection.
Keywords
agricultural products; electronic noses; entropy; feature extraction; electronic nose; electronic nose detection; entropy characteristics; feature extraction methods; feature selection; tomatoes detection; Actuators; Chemicals; Electronic noses; Entropy; Feature extraction; Gas detectors; Vectors; electronic nose; feature extraction; sensor array;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4673-5034-1
Type
conf
DOI
10.1109/IMCCC.2012.170
Filename
6429005
Link To Document