Active contours are among the most successful image segmentation techniques used in a variety of applications. Edge based object extraction is historically the first and therefore also the most widespread instance of the active contour model. The disadvantage of this approach is in general that the active contour may leak out of the ideal contour when the edges are weak. Region based object extracting models show more advantages than edge based models on weak edges. A common disadvantage of such models is that during the execution of the iterative algorithm, the active contour will oscillate with a high speed on strong edges, because of the large deviation of the features between neighboring pixels. This sometimes leads to imprecise segmentation results. Motivated by these problems, we studied an object extracting model, combining edge and region features, building further on the approach developed in [1], called the Region Competition based Active Contour model (RCAC).
Shang, Y, Deklerck, R, Nyssen, E & Yang, X 2007, Region Competition based Active Contour Modelling applied to Medical Image Analysis. in TN Heze (ed.), Annual Symposium of the IEEE/EMBS Benelux Chapter. Annual Symposium of the IEEE/EMBS Benelux Chapter, Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet, Stockholm, Sweden, 21/09/09.
Shang, Y., Deklerck, R., Nyssen, E., & Yang, X. (2007). Region Competition based Active Contour Modelling applied to Medical Image Analysis. In T. N. Heze (Ed.), Annual Symposium of the IEEE/EMBS Benelux Chapter (Annual Symposium of the IEEE/EMBS Benelux Chapter).
@inproceedings{c15d94ed66a84abe9d1d6bf7c9057ac2,
title = "Region Competition based Active Contour Modelling applied to Medical Image Analysis",
abstract = "Active contours are among the most successful image segmentation techniques used in a variety of applications. Edge based object extraction is historically the first and therefore also the most widespread instance of the active contour model. The disadvantage of this approach is in general that the active contour may leak out of the ideal contour when the edges are weak. Region based object extracting models show more advantages than edge based models on weak edges. A common disadvantage of such models is that during the execution of the iterative algorithm, the active contour will oscillate with a high speed on strong edges, because of the large deviation of the features between neighboring pixels. This sometimes leads to imprecise segmentation results. Motivated by these problems, we studied an object extracting model, combining edge and region features, building further on the approach developed in [1], called the Region Competition based Active Contour model (RCAC).",
keywords = "Active contours, segmentation, REGION COMPETITION, level set",
author = "Yanfeng Shang and Rudi Deklerck and Edgard Nyssen and Xin Yang",
note = "Heze, The Netherlands; Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",
year = "2007",
language = "English",
series = "Annual Symposium of the IEEE/EMBS Benelux Chapter",
editor = "Heze, {The Netherlands}",
booktitle = "Annual Symposium of the IEEE/EMBS Benelux Chapter",
}