@inproceedings{21a2890a4db0481ca238313b53dae5a1,
title = "Image segmentation based on geodesic aided Chan-Vese model",
abstract = "In this paper, a novel model for intensity inhomogeneous image segmentation is proposed. The proposed model uses the local information of the image to be segmented; concurrently, it incorporates the geodesic active contour (GAC) model into Chan-Vese (C-V) model in energy function. Thus, the proposed model is effective when dealing with intensity inhomogeneous images. Practical experiments prove that the proposed model can obtain exact segmented results, especially with the intensity inhomogeneous images even with hole, noise and complex background.",
keywords = "Active contour, Chan-Vese model, Geodesic active contour model, 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.2010.5563751",
language = "???core.languages.en_GB???",
isbn = "9781424455386",
series = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",
pages = "315--317",
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",
}