Wei Hongru; Chai Fangyong

International Journal of Wireless and Microwave Technologies (IJWMT)

IJWMT Vol. 2, No. 4, 15 Aug. 2012

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A modified semi-supervised color image segmentation method

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Author(s)

Wei Hongru ¹ Chai Fangyong ¹

1. University of Science and Technology Beijing, Beijing 100083，china

* Corresponding author.

DOI: https://doi.org/10.5815/ijwmt.2012.04.09

Received: 7 Apr. 2012 / Revised: 17 May 2012 / Accepted: 3 Jul. 2012 / Published: 15 Aug. 2012

Index Terms

HMRF, semi-supervised, MeanShift, clustering, K-Means

Abstract

The paper proposed a modified color image segmentation method basing on semi-supervised hidden Markov random fields (HMRF) with constraints. Making use of MeanShift algorithm to get supervision information and, cluster number and initial values for cluster centroids, color images can be segmented effectively with the method in this paper by K-Means algorithm. The experimental results are very encouraging.

Cite This Paper

Wei Hongru,Chai Fangyong,"A modified semi-supervised color image segmentation method", IJWMT, vol.2, no.4, pp.59-64, 2012. DOI: 10.5815/ijwmt.2012. 04.09

Reference

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