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J.R. Rommelse, H.X. Lin, T.F. Chan, "Efficient Active Contour and K-Means Algorithms in Image Segmentation", Scientific Programming, vol. 12, Article ID 701965, 20 pages, 2004. https://doi.org/10.1155/2004/701965
Efficient Active Contour and K-Means Algorithms in Image Segmentation
In this paper we discuss a classic clustering algorithm that can be used to segment images and a recently developed active contour image segmentation model. We propose integrating aspects of the classic algorithm to improve the active contour model. For the resulting CVK and B-means segmentation algorithms we examine methods to decrease the size of the image domain. The CVK method has been implemented to run on parallel and distributed computers. By changing the order of updating the pixels, it was possible to replace synchronous communication with asynchronous communication and subsequently the parallel efficiency is improved.
Copyright © 2004 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.