Vanhamel, I., Pratikakis, I., & Sahli, H. (2006). Multiscale graph theory based color segmentation. In 2006 International Conference on Image Processing (pp. 769-772). (International Conference on Image Processing Proceedings). IEEE. http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=4106643&queryText%3DMultiscale+graph+theory+based+color+segmentation%26openedRefinements%3D*%26searchField%3DSearch+All

@inproceedings{33e6076322034d35978025c19b56efd1,
title = "Multiscale graph theory based color segmentation",
abstract = "In this paper the issue of image segmentation within the framework of nonlinear multiscale watersheds in combination with graph theory based techniques is addressed. First, a graph is created which decomposes the image in scale and space using the concept of multiscale watersheds. In the subsequent step the obtained graph is partitioned using recursive graph cuts in a coarse to fine manner. In this way, we are able to combine scale and feature measures in a flexible way: the feature-set that is used to measure the dissimilarities may change as we progress in scale. We employ the Earth Mover's Distance on a featureset that combines color, scale and contrast features to measure the dissimilarity between the nodes in the graph. Experimental results demonstrate the efficiency of the proposed method for natural scene images.",
keywords = "Multiscale graph theory, Multiscale watershed analysis",
author = "Iris Vanhamel and Ioannis Pratikakis and Hichem Sahli",
year = "2006",
language = "English",
series = "International Conference on Image Processing Proceedings",
publisher = "IEEE",
pages = "769--772",
booktitle = "2006 International Conference on Image Processing",
note = "2006 International Conference on Image Processing ; Conference date: 08-10-2006 Through 11-10-2006",
}