WestminsterResearch

Image segmentation based on semi-greedy region merging

Gupta, Gaurav and Psarrou, Alexandra and Angelopoulou, Anastassia (2012) Image segmentation based on semi-greedy region merging. In: IET Conference on Image Processing (IPR 2012), University of Westminster, UK, 3-4 July 2012. IET, Stevenage, pp. 211-214. ISBN 9781849196321

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Official URL: http://dx.doi.org/10.1049/cp.2012.0431

Abstract

Region merging algorithms are known to be fast when the merge criteria are relatively loose but very slow when extended schemes are applied. However, since region merging is greedy and looks only at local information, it is susceptible to suboptimal merge pathways as well as to outliers. This paper presents a fast and effective region merging scheme using a semi-greedy merging criterion and an adaptive threshold (SGAT) to control segmentation resolution. In quantitative analysis on standard benchmarks data, the proposed method performs the best, with respect to specific metrics as well as overall, compared to other segmentation methods.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:10930
Deposited On:26 Jul 2012 10:50
Last Modified:11 Jun 2013 14:52

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