DocumentCode
469237
Title
Greenery Image and Non-greenery Image Classification Using Adaptive Neuro-Fuzzy Inference System
Author
Balamurugan, P. ; Rajesh, R.
Author_Institution
Bharathiar Univ., Coimbatore
Volume
3
fYear
2007
fDate
13-15 Dec. 2007
Firstpage
431
Lastpage
435
Abstract
This paper presents greenery and non-greenery image classification using adaptive neuro fuzzy inference system. A hybrid set of parameters involving texture and a measure of color coherence using guided (template) image, are used for the purpose of classification. These hybrid set of parameters provide good classification accuracy for greenery and non-greenery images. The performance of the system is illustrated with a set of 200 images containing both greenery and non-greenery images.
Keywords
fuzzy neural nets; fuzzy reasoning; image classification; image colour analysis; image texture; adaptive neurofuzzy inference system; color coherence; guided template image; image texture; nongreenery image classification; Adaptive systems; Computational intelligence; Image classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location
Sivakasi, Tamil Nadu
Print_ISBN
0-7695-3050-8
Type
conf
DOI
10.1109/ICCIMA.2007.302
Filename
4426406
Link To Document