Volume 12, Issue 1
A New Variational Model with Dual Level Set Functions for Selective Segmentation

Lavdie Rada & Ke Chen

Commun. Comput. Phys., 12 (2012), pp. 261-283.

Published online: 2012-12

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  • Abstract

In this paper we present a selective segmentation model using a dual level set variational formulation. Our variational model aims to segment all objects with one level set function (global) and the selected object, which is the closest to the geometric constraints (markers), with another level set (local). It is a combination of edge detection, markers distance function and active contour without edges. Experimental results show that our model is more robust than previous work. 

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@Article{CiCP-12-261, author = {Lavdie Rada and Ke Chen}, title = {A New Variational Model with Dual Level Set Functions for Selective Segmentation}, journal = {Communications in Computational Physics}, year = {2012}, volume = {12}, number = {1}, pages = {261--283}, abstract = {

In this paper we present a selective segmentation model using a dual level set variational formulation. Our variational model aims to segment all objects with one level set function (global) and the selected object, which is the closest to the geometric constraints (markers), with another level set (local). It is a combination of edge detection, markers distance function and active contour without edges. Experimental results show that our model is more robust than previous work. 

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.190111.210611a}, url = {http://global-sci.org/intro/article_detail/cicp/7292.html} }
TY - JOUR T1 - A New Variational Model with Dual Level Set Functions for Selective Segmentation AU - Lavdie Rada & Ke Chen JO - Communications in Computational Physics VL - 1 SP - 261 EP - 283 PY - 2012 DA - 2012/12 SN - 12 DO - http://dor.org/10.4208/cicp.190111.210611a UR - https://global-sci.org/intro/cicp/7292.html KW - AB -

In this paper we present a selective segmentation model using a dual level set variational formulation. Our variational model aims to segment all objects with one level set function (global) and the selected object, which is the closest to the geometric constraints (markers), with another level set (local). It is a combination of edge detection, markers distance function and active contour without edges. Experimental results show that our model is more robust than previous work. 

Lavdie Rada & Ke Chen. (1970). A New Variational Model with Dual Level Set Functions for Selective Segmentation. Communications in Computational Physics. 12 (1). 261-283. doi:10.4208/cicp.190111.210611a
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