DocumentCode
460442
Title
Image Segmentation By Combining Wavelet Textural Analysis and Neural Networks
Author
Song, Wang ; Weihong, Wang
Author_Institution
Coll. of Software, Zhejiang Univ. of Technol., Hangzhou, China
Volume
1
fYear
2006
fDate
25-28 June 2006
Firstpage
606
Lastpage
609
Abstract
To develop a good evaluation of the classes present on a scene is one of the difficulties in pattern recognition. To suitably describe those classes it is necessary to find feature spaces, which allow distinguishing between them. In this work, we propose an unsupervised segmentation/classification technique based on wavelet textural analysis and self-organizing maps clustering.
Keywords
image classification; image segmentation; image texture; self-organising feature maps; image segmentation; neural networks; pattern recognition; self-organizing maps clustering; unsupervised segmentation-classification technique; wavelet textural analysis; Data mining; Frequency; Image analysis; Image segmentation; Image texture analysis; Neural networks; Signal resolution; Space technology; Spatial resolution; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location
Guilin
Print_ISBN
0-7803-9584-0
Electronic_ISBN
0-7803-9585-9
Type
conf
DOI
10.1109/ICCCAS.2006.284709
Filename
4063953
Link To Document