DocumentCode
1420373
Title
Histogram-based segmentation in a perceptually uniform color space
Author
Shafarenko, L. ; Petrou, M. ; Kittler, J.
Author_Institution
Dept. of Electron. Eng. Inf. Technol. & Math., Surrey Univ., Guildford, UK
Volume
7
Issue
9
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
1354
Lastpage
1358
Abstract
In this work, we present a segmentation algorithm for color images that uses the watershed algorithm to segment either the two-dimensional (2-D) or the three-dimensional (3-D) color histogram of an image. For compliance with the way humans perceive color, this segmentation has to take place in a perceptually uniform color space like the Luv space. To avoid oversegmentation, the watershed algorithm has to be applied to a smoothed histogram
Keywords
adaptive filters; filtering theory; image colour analysis; image segmentation; mathematical morphology; visual perception; 2-D color histogram; 3-D color histogram; Luv color space; color images; histogram-based segmentation; image segmentation algorithm; perceptually uniform color space; smoothed histogram; watershed algorithm; Adaptive filters; Colored noise; Gaussian noise; Histograms; Humans; Image color analysis; Image segmentation; Machine vision; Morphological operations; Surface morphology;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.709666
Filename
709666
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