TY - GEN
T1 - Extraction of perceptual hue feature set for color image/video segmentation
AU - Wang, Ming Jiun
AU - Lee, Gwo Giun
AU - Lin, He Yuan
N1 - Funding Information:
This work was supported by grants PRIN/COFIN from the Italian Ministry of University, Research and Education 2008 and 2010 (to R.DeG., G.B., and V.S.) and R.F.O. funds from the University of Bologna (R.DeG., G.B., R.C. and V.S.). R. De G. is the recipient of research grants from Fondazione Del Monte di Bologna e Ravenna .
PY - 2008
Y1 - 2008
N2 - In this paper, we present a simple but effective algorithm for the extraction of perceptual hue feature set used in color image/video segmentation with emphasis on color textures. Feature extraction, with significant impact on the overall image/video analysis process, plays a critical role in classification-based segmentation. Color textures are accurately characterized by the newly introduced feature set with invariance to illumination, translation, and rotation, which is contributed by the statistical scheme in exploring the distribution of six rudimentary colors and the achromatic component at local positions. The feature set provides characteristic information and enables segmentation that is more meaningful than the recently published works do.
AB - In this paper, we present a simple but effective algorithm for the extraction of perceptual hue feature set used in color image/video segmentation with emphasis on color textures. Feature extraction, with significant impact on the overall image/video analysis process, plays a critical role in classification-based segmentation. Color textures are accurately characterized by the newly introduced feature set with invariance to illumination, translation, and rotation, which is contributed by the statistical scheme in exploring the distribution of six rudimentary colors and the achromatic component at local positions. The feature set provides characteristic information and enables segmentation that is more meaningful than the recently published works do.
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U2 - 10.1007/978-3-540-89796-5_103
DO - 10.1007/978-3-540-89796-5_103
M3 - Conference contribution
AN - SCOPUS:70350655703
SN - 354089795X
SN - 9783540897958
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 875
EP - 878
BT - Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings
T2 - 9th Pacific Rim Conference on Multimedia, PCM 2008
Y2 - 9 December 2008 through 13 December 2008
ER -