@inproceedings{b5d77f4269e746f5a8327fba302766f1,
title = "Variational color image segmentation via chromaticity-brightness decomposition",
abstract = "A region-based variational model for color image segmentation is proposed using the chromaticity-brightness decomposition. By this decomposition, we extend the Wasserstein distance based method to color images. The chromaticity term of the proposed functional follows the data term of the color Chan-Vese model with constraint on unit sphere, and the brightness term is formulated by the Wasserstein distance between the computed probability density function in the local windows (e.g. 3 by 3 or 5 by 5 window) and its estimated counterparts in classified regions. Experimental results on synthetic and real color images show that the proposed method performs well for the segmentation of different image regions.",
keywords = "Chromaticity-brightness decomposition, Color image segmentation, Variational model",
author = "Zheng Bao and Yajun Liu and Yaxin Peng and Guixu Zhang",
year = "2009",
doi = "10.1007/978-3-642-11301-7\_31",
language = "英语",
isbn = "3642113001",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "295--302",
booktitle = "Advances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings",
note = "16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010 ; Conference date: 06-10-2010 Through 08-10-2010",
}