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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)
作者部门工业控制网络与系统研究室
会议名称2013 15th IEEE International Conference on Communication Technology (ICCT 2013) 
会议日期November 17-19, 2013
会议地点Guilin, China
会议录名称Proceedings of 15th IEEE International Conference on Communication Technology (ICCT 2013) 
出版者IEEE
出版地NEW YORK
2013
页码625-628
收录类别EI ; CPCI(ISTP)
EI收录号20143618137172
WOS记录号WOS:000355664400111
产权排序1
ISBN号978-1-4799-0077-0
关键词Color Space Color Lookup Tables Multi-grid Optimization Color-difference Formulas Image Segment K-means
摘要After 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.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13879
专题工业控制网络与系统研究室
通讯作者Jiang M(姜迈)
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
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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