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
fDate :
9/1/1998 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
