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Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007) (2007)
Omaha, Nebraska, USA
Oct. 28, 2007 to Oct. 31, 2007
ISBN: 0-7695-3033-8
pp: 41-44
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.

Z. Ding, J. He and G. Huang, "Automatic Generation of Traditional Style Painting by Using Density-Based Color Clustering," Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)(ICDMW), Omaha, Nebraska, USA, 2007, pp. 41-44.
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