DocumentCode :
3184255
Title :
Image segmentation based on semi-greedy region merging
Author :
Gupta, G. ; Psarrou, A. ; Angelopoulou, A.
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Westminster, London, UK
fYear :
2012
fDate :
3-4 July 2012
Firstpage :
1
Lastpage :
4
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.
Keywords :
greedy algorithms; image segmentation; merging; SGAT; image segmentation; merge criteria; region merging algorithm; segmentation resolution control; semigreedy merging criterion and an adaptive threshold; semigreedy region merging; standard benchmarks data; suboptimal merge pathways; Region merging; image segmentation; semi-greedy;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing (IPR 2012), IET Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-632-1
Type :
conf
DOI :
10.1049/cp.2012.0431
Filename :
6290626
Link To Document :
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