DocumentCode :
3707562
Title :
A new Mumford-Shah type model involvinga smoothing operator for multiphase image segmentation
Author :
Ying Gu;Wei Xiong;Li-Lian Wang;Jierong Cheng;Jia Du;Wenyu Chen;Yue Wang;ShueChing Chia
Author_Institution :
Institute for Infocomm Research
fYear :
2015
Firstpage :
1990
Lastpage :
1994
Abstract :
Variational image segmentation based on the Mumford-Shah model requires to solve the heat diffusion equations in evolving irregular subdomains. It brings about significant difficulties in efficient and accurate segmentation, especially, in multi-phase scenarios. In this paper, we propose a new Mumford-Shah type model involving a smoothing operator, acting a similar role as the diffusion process and avoiding complicated computation. We introduce two simplified numerical models based on the Gaussian operator and the bilateral operator respectively, and provide efficient numerical algorithms to solve both segmentation problems. Numerical validation experiments on various images show better accuracy and robustness over existing methods.
Keywords :
"Image segmentation","Numerical models","Mathematical model","Smoothing methods","Computational modeling","Noise level","Heating"
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICIP.2015.7351149
Filename :
7351149
Link To Document :
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