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
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;
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
DOI :
10.1109/ICCCAS.2006.284709
