Title: | automatic generation of traditional style painting by using density-based color clustering |
Author: | Huang Guangyan
; Ding Zhiming
; He Jing
|
Source: | Proceedings - IEEE International Conference on Data Mining, ICDM
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Conference Name: | 17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007
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Conference Date: | 40844
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Issued Date: | 2007
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Conference Place: | Omaha, NE, United states
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Keyword: | 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
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Publish Place: | United States
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Indexed Type: | EI
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ISSN: | 15504786
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ISBN: | 769530192
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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
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English Abstract: | 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 |
Content Type: | 会议论文
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URI: | http://ir.iscas.ac.cn/handle/311060/10900
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Appears in Collections: | 基础软件国家工程研究中心_会议论文
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04476644.pdf(267KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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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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