@inproceedings{210d0e70193c409fa37c3a5cd3af3de0,
title = "A multiphase region-based framework for image segmentation based on least square method",
abstract = "We propose a multiphase region-based framework for image segmentation using Least Square Method, by piecewise constant optimal approximations. The basic idea of our model is to build up a minimum error functional by approximating n sub-regions of the original image with n constants respectively. The main contribution of our method is that we introduce weighting matrixes into the region-based model, which can enhance the weight of the specific region while reducing the influence from other regions. Moreover, our method can fast converge, and segment a given image into arbitrary regions under least squares and iterative algorithm. Experimental results show the advantages of our method in terms of accuracy and efficiency in image segmentation.",
keywords = "Image segmentation, Least mean square methods",
author = "G. Chen and Xin Meng and T. Hu and Guo, \{X. Y.\} and Liu, \{Li Xiong\} and Haiying Zhang",
year = "2009",
doi = "10.1109/ICIP.2009.5413829",
language = "English",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "4009--4012",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
address = "United States",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}