کنگره ملی مهندسی برق، کامپیوتر و فناوری اطلاعات , 2012-11-07

Title : ( Toward Application of Sandpile Model in Image Segmentation Based on Extremal Optimization Heuristic )

Authors: Atieh Gharib , Mohammad Reza Akbarzadeh Totonchi , Ahad Harati , Majid Vafaei Jahan ,

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The sandpile model is a paradigm of self organizing critically (SOC) concept that is inspired by a physics-based intuition for optimization. In this paradigm, physical properties of sandpiles such as avalanche promise improved convergence and lower computations. Extremal Optimization (EO) algorithm is a general-purpose local search heuristic that is based on SOC. Here, application of sandpile model to image segmentation is proposed. In the proposed model, over-segmented images are submitted to the algorithm. Inspired by sandpile model, similar segments then merge, and by using the energy function in Markov random fields (MRF), EO adjusts the labels of pixels. Results indicate that sandpile model can be applicable to image segmentation.

Keywords

, Sandpile model, extremal optimization, segmentation,
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@inproceedings{paperid:1036275,
author = {Gharib, Atieh and Akbarzadeh Totonchi, Mohammad Reza and Harati, Ahad and Majid Vafaei Jahan},
title = {Toward Application of Sandpile Model in Image Segmentation Based on Extremal Optimization Heuristic},
booktitle = {کنگره ملی مهندسی برق، کامپیوتر و فناوری اطلاعات},
year = {2012},
location = {مشهد, IRAN},
keywords = {Sandpile model; extremal optimization; segmentation; merging},
}

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%0 Conference Proceedings
%T Toward Application of Sandpile Model in Image Segmentation Based on Extremal Optimization Heuristic
%A Gharib, Atieh
%A Akbarzadeh Totonchi, Mohammad Reza
%A Harati, Ahad
%A Majid Vafaei Jahan
%J کنگره ملی مهندسی برق، کامپیوتر و فناوری اطلاعات
%D 2012

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