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题名: Perception-Based Color Space for Image Segmentation Application
作者: 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: Proceedings of 15th IEEE International Conference on Communication Technology (ICCT 2013) 
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2013
页码: 625-628
收录类别: EI
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13879
Appears in Collections:工业控制网络与系统研究室_会议论文

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