摘要
提出了一种基于模糊联想分类神经网络图像分割算法的选择方法 .通过树型小波变换提取图像特征 ,再用模糊联想分类神经网络将待分割图像划分为灰度图像或纹理图像 。
An approach to image segmentation algorithm selection is presented. First, features of the image to be segmented are extracted by the tree structured wavelet transform. Then a fuzzy associative classification neural network is used to classify the image into gray area dominated image or texture area dominated one,which are used to choose an appropriate image segmentation algorithm. Experimental results show the effectiveness of the proposed approach.
出处
《深圳大学学报(理工版)》
EI
CAS
2000年第4期21-26,共6页
Journal of Shenzhen University(Science and Engineering)
基金
深圳大学科研基金资助项目! (19990 0 2 6 )
关键词
树型小波变换
模糊联想分类神经网络
图像分割算法
tree structured wavelet transform
fuzzy associative classification neural network
image segmentation algorithm