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Compatible texture image segmentation algorithm based on mean shift method

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成果类型:
期刊论文
作者:
Xiao, Weichu;Guo, Baolong;Chen, Weihong
通讯作者:
Xiao, W.
作者机构:
[Xiao, Weichu; Chen, Weihong] School of Communication and Electronic Engineering, Hunan City University, Yiyang 413002, Hunan, China
[Xiao, Weichu; Guo, Baolong] Institute of Intelligent Control and Image Engineering, Xidian University, Xi'an 710071, Shanxi, China
通讯机构:
School of Communication and Electronic Engineering, Hunan City University, China
语种:
英文
关键词:
Mean shift;Texture image;Unsupervised segmentation;Wavelet transform
期刊:
International Review on Computers and Software
ISSN:
1828-6003
年:
2012
卷:
7
期:
4
页码:
1931-1937
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
Based on wavelet multi-resolution analysis and mean-shift Unsupervised texture segmentation method and the mean shift clustering based on wavelet feature completely unsupervised adaptive multi-scale segmentation and neither the need for training is not necessary to split the categorya priori knowledge of the number, etc. the method according to the strategy in scale between the transmission of information, adaptive to different regions of the image to determine the appropriate split of the scale, texture inner region using the coarse scale features at the junction between the different texture...

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