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题名:
automatic generation of traditional style painting by using density-based color clustering
作者: Huang Guangyan ; Ding Zhiming ; He Jing
会议文集: Proceedings - IEEE International Conference on Data Mining, ICDM
会议名称: 17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007
会议日期: 40844
出版日期: 2007
会议地点: Omaha, NE, United states
关键词: Administrative data processing ; Binary images ; Chlorine compounds ; Cluster analysis ; Color ; Data mining ; Decision support systems ; Flow of solids ; Image enhancement ; Information management ; Mining ; Optical properties ; Pixels ; Search engines
出版地: United States
收录类别: EI
ISSN: 15504786
ISBN: 769530192
部门归属: (1) Institute of Software, Chinese Academy of Sciences, Beijing 100080, China; (2) School of Computer Science and Mathematics, Victoria University, Chinese Academy of Sciences, Beijing 100080, China
英文摘要: In this paper, a novel approach is proposed to automatically generate both watercolor painting and pencil sketch drawing, or binary image of contour, from realism-style photo by using DBSCAN color clustering based on HSV color space. While the color clust
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/10900
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Huang Guangyan,Ding Zhiming,He Jing. automatic generation of traditional style painting by using density-based color clustering[C]. 见:17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007. Omaha, NE, United states. 40844.
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