Image Segmentation By Combining Wavelet Textural Analysis and Neural Networks
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 selforganizing maps clustering.
WANG Song WANG Weihong
College of Software Zhejiang University of Technology Hangzhou, Zhejiang, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
606-609
2006-06-25(万方平台首次上网日期,不代表论文的发表时间)