Integrating clustering with level set method for piecewise constant Mumford-Shah model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Information Systems,Signal Processing
Link
http://link.springer.com/content/pdf/10.1186/1687-5281-2014-1.pdf
Reference32 articles.
1. Carriero M, Leaci A, Tomarelli F: Calculus of variations and image segmentation. J Physiol Paris 2003, 97: 343-353. 10.1016/j.jphysparis.2003.09.008
2. Chan TF, Moelich M, Sandberg B: Some Recent Developments in Variational Image Segmentation, Part III. Heidelberg: Springer; 2007:175-210.
3. Mumford D, Shah J: Optimal approximation by piecewise smooth functionals and associated variational problems. Commun. Pure Appl. Math. 1989, 42(5):577-685. 10.1002/cpa.3160420503
4. Chambolle A: Image segmentation by variational methods: Mumford and Shah functional and the discrete approximations. SIAM J. Appl. Math. 1995, 55(3):827-863. 10.1137/S0036139993257132
5. Tsai A, Yezzi A, Willsky AS: Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification. IEEE Trans Image Process 2001, 10(8):1169-1186. 10.1109/83.935033
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