@inproceedings{97b910559c4b4c22bccf365e990ea64c,
title = "Chan-vese revisited: Relation to otsu{\textquoteright}s method and a parameter-free non-pde solution via morphological framework",
abstract = "Chan-Vese is an important and well-established segmentation method. However, it tends to be challenging to implement, including issues such as initialization problems and establishing the values of several free parameters. The paper presents a detailed analysis of Chan-Vese framework. It establishes a relation between the Otsu binarization method and the fidelity terms of Chan-Vese energy functional, allowing for intelligent initialization of the scheme. An alternative, fast, and parameter-free morphological segmentation technique is also suggested. Our experiments indicate the soundness of the proposed algorithm.",
author = "Arie Shaus and Eli Turkel",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 12th International Symposium on Visual Computing, ISVC 2016 ; Conference date: 12-12-2016 Through 14-12-2016",
year = "2016",
doi = "10.1007/978-3-319-50835-1_19",
language = "אנגלית",
isbn = "9783319508344",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "203--212",
editor = "George Bebis and Bahram Parvin and Sandra Skaff and Daisuke Iwai and Richard Boyle and Darko Koracin and Fatih Porikli and Carlos Scheidegger and Alireza Entezari and Jianyuan Min and Amela Sadagic and Tobias Isenberg",
booktitle = "Advances in Visual Computing - 12th International Symposium, ISVC 2016, Proceedings",
address = "גרמניה",
}