Title :
Classification of citrus and non-citrus fruits using texture features
Author :
Arivazhagan, S. ; Shebiah, R. Newlin ; Nidhyanandhan, S. Selva ; Ganesan, L.
Author_Institution :
Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi - 626 005, Tamilnadu, India
Abstract :
Each species of a fruit has its own unique features, which enabled the proposed system to identify it accurately. The proposed system classifies citrus from Non-citrus fruits using the textural features. Features are extracted based on the statistical and co-occurrence features derived from Wavelet transformed sub bands. The classification is done by the minimum distance criterion. Experimental results on a database of about 200 fruits confirm the effectiveness of the proposed approach.
Conference_Titel :
Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on
Conference_Location :
Karur
Print_ISBN :
978-1-4244-6591-0
DOI :
10.1109/ICCCNT.2010.5591562