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Perception-Based Color Space for Image Segmentation Application
Jiang M(姜迈); Liang W(梁炜); Zhang XL(张晓玲)
Department工业控制网络与系统研究室
Conference Name2013 15th IEEE International Conference on Communication Technology (ICCT 2013) 
Conference DateNovember 17-19, 2013
Conference PlaceGuilin, China
Source PublicationProceedings of 15th IEEE International Conference on Communication Technology (ICCT 2013) 
PublisherIEEE
Publication PlaceNEW YORK
2013
Pages625-628
Indexed ByEI ; CPCI(ISTP)
EI Accession number20143618137172
WOS IDWOS:000355664400111
Contribution Rank1
ISBN978-1-4799-0077-0
KeywordColor Space Color Lookup Tables Multi-grid Optimization Color-difference Formulas Image Segment K-means
AbstractAfter analyzing the deficiency of existing perception-based image processing problems, the most important properties of color spaces are identified without cross contamination between lightness, saturation, hue and with maximum perceptual uniformity. This paper using multi-grid optimization and standard color-difference formulas transformed images from an initial color space to the new color space. The new working color space performance ability is tested in image segmentation, using ISODATA algorithm to get the k-means clustering algorithms best cluster number and the initial cluster center. After comparing with the exiting color spaces, the experiment results showed color attributes of the new space free of cross contamination and with maximum perceptual uniformity which can improve the image segmentation algorithms’ accuracy.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/13879
Collection工业控制网络与系统研究室
Corresponding AuthorJiang M(姜迈)
AffiliationShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Jiang M,Liang W,Zhang XL. Perception-Based Color Space for Image Segmentation Application[C]. NEW YORK:IEEE,2013:625-628.
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