@inproceedings{e015c1e4198c4d90b7c9b82b73511ff5,
title = "Bidirectional evolution of morphological level set for fast image segmentation",
abstract = "We propose a novel level set method for fast image segmentation, which evolves level set functions using simple binary morphological operations. The proposed method is superior to a previously reported morphological level set method in capable of bidirectional evolution of level set functions, i.e., the interface of a level set function can either expand or shrink toward the object boundary. The experimental results on image segmentation show the high performance and fast computation of the proposed level set method, which also facilitates parallel hardware and optical implementation.",
keywords = "Image segmentation, Level set method, Morphological operation",
author = "Guopu Zhu and Shuqun Zhang",
year = "2011",
language = "英语",
isbn = "9781936338290",
series = "WMSCI 2011 - The 15th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
pages = "281--284",
booktitle = "WMSCI 2011 - The 15th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings",
note = "15th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2011 ; Conference date: 19-07-2011 Through 22-07-2011",
}