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Morphological hierarchical segmentation and color spaces
Author(s) -
Meurie Cyril,
Lezoray Olivier,
Khoudour Louahdi,
Elmoataz Abderrahim
Publication year - 2010
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20233
Subject(s) - color space , segmentation , rgb color model , computer science , artificial intelligence , rgb color space , scale space segmentation , benchmark (surveying) , pattern recognition (psychology) , image segmentation , homogeneous , computer vision , mathematics , color image , image processing , geography , cartography , image (mathematics) , combinatorics
In this article, the color space influence on different methods of morphological hierarchical segmentation is studied. For this purpose, several experimental studies are carried out on hundred images of the “Berkeley Segmentation Dataset and Benchmark” (Berkeley). On one hand, four usual and representative color spaces ( RGB , YC b C r , L*a*b*, IHSL ) are considered. On the other hand, three different morphological hierarchical segmentation schemes are considered. These later are the quasi flat zones, the nonparametric hierarchical watershed (waterfall algorithm) and the nested homogeneous connections. As one could expect it, the different morphological hierarchical segmentation schemes do not have the same behavior in different color spaces. We conclude by proposing a ranking of color spaces according to the considered morphological hierarchical segmentation schemes. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 167–178, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20233