@inproceedings{b4e2598dce46423297edb9d840e82ea8,
title = "Primal-dual method for continuous max-flow approaches",
abstract = "We review the continuous max-flow approaches for the variational image segmentation models with piecewise constant representations. The review is conducted by exploring the primal-dual relationships between the continuous min-cut and max-flow problems. In addition, we introduce the parameter free primal-dual method for solving those max-flow problems. Empirical results show that the primal-dual method is competitive to the augmented Lagrangian method.",
author = "Ke Wei and Tai, {Xue Cheng} and Chan, {Tony F.} and Shingyu Leung",
note = "Publisher Copyright: {\textcopyright} 2016 Taylor & Francis Group, London.; 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 ; Conference date: 19-10-2015 Through 21-10-2015",
year = "2016",
doi = "10.1201/b19241-5",
language = "English (US)",
isbn = "9781138029262",
series = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",
publisher = "CRC Press/Balkema",
pages = "17--24",
editor = "Tavares, {Joao Manuel R.S.} and Jorge, {R.M. Natal}",
booktitle = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",
}