@inproceedings{c73aeac6004046aaa4ffbd3905b9a338,
title = "Active contour with selective local or global segmentation for intensity inhomogeneous image",
abstract = "In this paper, a novel algorithm for intensity inhomogeneous image segmentation is proposed. The presented method introduces a signed pressure force function using the local information of the image to be segmented. Thus, this model can work with heterogeneous images. In addition, by taking the advantages of Geodesic active contour (GAC) and Chan-Vese (C-V) model, the mehod could deal with objects even with discrete Iblur boundaries and gives exact results in detecting object boundaries. Experimental results demonstrate that the proposed model is effective in segmenting inhomogeneous images and promising in pattern recognition.",
keywords = "Active contour model, Geodesic active contour, Image segmentation, Intensity inhomogeneous image segmentation, Level set method",
author = "Tran, {Thi Thao} and Pham, {Van Truong} and Chiu, {Yun Jen} and Shyu, {Kuo Kai}",
year = "2010",
doi = "10.1109/ICCSIT.2010.5564761",
language = "???core.languages.en_GB???",
isbn = "9781424455386",
series = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",
pages = "306--310",
booktitle = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",
note = "2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 ; Conference date: 09-07-2010 Through 11-07-2010",
}