Literature DB >> 16671298

A binary level set model and some applications to Mumford-Shah image segmentation.

Johan Lie1, Marius Lysaker, Xue-Cheng Tai.   

Abstract

In this paper, we propose a PDE-based level set method. Traditionally, interfaces are represented by the zero level set of continuous level set functions. Instead, we let the interfaces be represented by discontinuities of piecewise constant level set functions. Each level set function can at convergence only take two values, i.e., it can only be 1 or -1; thus, our method is related to phase-field methods. Some of the properties of standard level set methods are preserved in the proposed method, while others are not. Using this new method for interface problems, we need to minimize a smooth convex functional under a quadratic constraint. The level set functions are discontinuous at convergence, but the minimization functional is smooth. We show numerical results using the method for segmentation of digital images.

Mesh:

Year:  2006        PMID: 16671298     DOI: 10.1109/tip.2005.863956

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  14 in total

1.  A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image.

Authors:  Xin Gao; Yoshikazu Uchiyama; Xiangrong Zhou; Takeshi Hara; Takahiko Asano; Hiroshi Fujita
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

2.  Simultaneous segmentation and reconstruction: a level set method approach for limited view computed tomography.

Authors:  Sungwon Yoon; Angel R Pineda; Rebecca Fahrig
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

3.  Evaluation of automated brain MR image segmentation and volumetry methods.

Authors:  Frederick Klauschen; Aaron Goldman; Vincent Barra; Andreas Meyer-Lindenberg; Arvid Lundervold
Journal:  Hum Brain Mapp       Date:  2009-04       Impact factor: 5.038

4.  A real-time algorithm for the approximation of level-set-based curve evolution.

Authors:  Yonggang Shi; William Clem Karl
Journal:  IEEE Trans Image Process       Date:  2008-05       Impact factor: 10.856

5.  Vesselness-guided Active Contour: A Coronary Vessel Extraction Method.

Authors:  Maryam Taghizadeh Dehkordi; Morteza Jalalat; Saeed Sadri; Alimohamad Doosthoseini; Mohammad Reza Ahmadzadeh; Rasoul Amirfattahi
Journal:  J Med Signals Sens       Date:  2014-04

6.  [A fast adaptive active contour model based on local gray difference for parotid duct].

Authors:  Xuan Deng; Tianjun Lan; Minghui Zhang; Zhifeng Chen; Qian Tao; Zhentai Lu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-12-30

7.  Three-Dimensional Segmentation of the Ex-Vivo Anterior Lamina Cribrosa From Second-Harmonic Imaging Microscopy.

Authors:  Sundaresh Ram; Forest Danford; Stephen Howerton; Jeffrey J Rodriguez; Jonathan P Vande Geest
Journal:  IEEE Trans Biomed Eng       Date:  2017-02-23       Impact factor: 4.538

8.  Hybrid two-stage active contour method with region and edge information for intensity inhomogeneous image segmentation.

Authors:  Shafiullah Soomro; Asad Munir; Kwang Nam Choi
Journal:  PLoS One       Date:  2018-01-29       Impact factor: 3.240

9.  Coupling Monte Carlo, Variational Implicit Solvation, and Binary Level-Set for Simulations of Biomolecular Binding.

Authors:  Zirui Zhang; Clarisse G Ricci; Chao Fan; Li-Tien Cheng; Bo Li; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2021-03-02       Impact factor: 6.006

10.  An automated and simple method for brain MR image extraction.

Authors:  Haiyan Zhang; Jiafeng Liu; Zixin Zhu; Haiyun Li
Journal:  Biomed Eng Online       Date:  2011-09-13       Impact factor: 2.819

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