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automatic generation of traditional style painting by using density-based color clustering
Huang Guangyan; Ding Zhiming; He Jing
2007
Conference Name17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007
SourceProceedings - IEEE International Conference on Data Mining, ICDM
Pages41-44
Conference Date40844
Conference PlaceOmaha, NE, United states
Indexed TypeEI
Publish PlaceUnited States
ISSN15504786
ISBN769530192
Department(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
English AbstractIn 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
KeywordAdministrative 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
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/10900
Collection基础软件国家工程研究中心
Recommended Citation
GB/T 7714
Huang Guangyan,Ding Zhiming,He Jing. automatic generation of traditional style painting by using density-based color clustering[C]. United States,2007:41-44.
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