@inproceedings{42603282169b4be38086b9b92eb121f1,
title = "Novel convex active contour model using local and global information",
abstract = "In this paper, we propose a novel region-based active contour model for image segmentation. Our model incorporates the global and local information in the energy function, enabling efficient segmentation of images while accounting for intensity in homogeneity. Another interesting property of the proposed model is its convexity, making it independent of the initial condition and hence ideal for an automatic segmentation. Furthermore, the energy function of the proposed model is minimized in a computationally efficient way by using the Chambolle method. Experimental results on natural and medical images demonstrate the performance of our model over the current state-of-the-art.",
keywords = "Active Contours, Convex, Local and Global, Medical Images, Segmentation",
author = "Thieu, {Quang Tung} and Marie Luong and Rocchisani, {Jean Marie} and Emmanuel Viennet and Dat Tran",
year = "2011",
doi = "10.1109/DICTA.2011.65",
language = "English",
isbn = "9780769545882",
series = "Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "346--351",
editor = "Paul Jackway and Murk Bottema",
booktitle = "Proceedings - 2011 International Conference on Digital Image Computing",
address = "United States",
note = "2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011 ; Conference date: 06-12-2011 Through 08-12-2011",
}