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Automatic generation of traditional style painting by using density-based color clustering

conference contribution
posted on 2007-01-01, 00:00 authored by Guangyan HuangGuangyan Huang, Z Ding, J He
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 clusters produced by proposed methods help to create watercolor painting, the noise pixels are useful to generate the pencil sketch drawing. Moreover, noise pixels are reassigned to color clusters by a novel algorithm to refine the contour in the watercolor painting. The main goal of this paper is to inspire non-professional artists' imagination to produce traditional style painting easily by only adjusting a few parameters. Also, another contribution of this paper is to propose an easy method to produce the binary image of contour, which is a vice product when mining image data by DBSCAN clustering. Thus the binary image is useful in resource limited system to reduce data but keep enough information of images. © 2007 IEEE.

History

Event

IEEE International Conference on Data Mining Workshops (7th : 2007 : Omaha, NE, USA)

Pagination

41 - 44

Publisher

IEEE

Location

Omaha, Neb.

Place of publication

Piscataway, N.J.

Start date

2007-10-28

End date

2007-10-31

ISSN

1550-4786

ISBN-13

9780769530192

ISBN-10

0769530192

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2007, IEEE

Title of proceedings

ICDMW 2007: Proceedings of the 7th IEEE International Conference on Data Mining

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