PMID: 15376596Sep 21, 2004Paper

RAGS: Region-aided Geometric Snake

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Xianghua Xie, Majid Mirmehdi

Abstract

An enhanced, region-aided, geometric active contour that is more tolerant toward weak edges and noise in images is introduced. The proposed method integrates gradient flow forces with region constraints, composed of image region vector flow forces obtained through the diffusion of the region segmentation map. We refer to this as the Region-aided Geometric Snake or RAGS. The diffused region forces can be generated from any reliable region segmentation technique, greylevel or color. This extra region force gives the snake a global complementary view of the boundary information within the image which, along with the local gradient flow, helps detect fuzzy boundaries and overcome noisy regions. The partial differential equation (PDE) resulting from this integration of image gradient flow and diffused region flow is implemented using a level set approach. We present various examples and also evaluate and compare the performance of RAGS on weak boundaries and noisy images.

References

Jan 1, 1996·IEEE Transactions on Medical Imaging·A ChakrabortyJ S Duncan
Feb 6, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·T F Chan, L A Vese
Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·C Xu, J L Prince
Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·K SiddiqiS W Zucker

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Citations

Aug 13, 2010·Journal of Medical Systems·Alireza Osareh, Bita Shadgar
Nov 30, 2012·Computational and Mathematical Methods in Medicine·Hongmin CaiLi Li
Mar 8, 2016·Journal of Biomechanics·Feng Wei YangAnotida Madzvamuse
Jul 18, 2015·International Journal for Numerical Methods in Biomedical Engineering·Feng Zhao, Xianghua Xie
Aug 19, 2008·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Wen FangShankar M Krishnan
Nov 25, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yansheng MingXuming He
Sep 10, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Vincent JaouenClovis Tauber
Feb 16, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Xianghua Xie, Majid Mirmehdi
Jan 20, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Pratim GhoshB S Manjunath
Sep 25, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Xianghua Xie
Sep 6, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Julien Marot, Salah Bourennane
Jul 18, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Bing Li, Scott T Acton
Apr 9, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·P Thevenaz, M Unser
Apr 4, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Y V VenkateshN Ramya
Nov 17, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Si Yong YeoPerumal Nithiarasu
Jul 14, 2014·Computers in Biology and Medicine·Adel HafianeAlain Delbos

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