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Pixel based stroke generation for painterly effect using maximum homogeneity neighbor filter

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Abstract

In this paper, we introduce a new brush stroke generation method for painterly effect. Instead of using the gradient of the source image to determine the stroke direction, we extract regions that can be drawn in one stroke using Maximum Homogeneity Neighbor filtering followed by identification of connected components considering the homogeneity of pixels. We can make a brush stroke from each component based on a least squares approximation to the medial axis. This method results in realistic looking brush strokes of varying width that have irregular directions where necessary.

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Acknowledgments

This work was supported by Ministry of Culture, Sports and Tourism(MCST) and Korea Creative Content Agency(KOCCA) in the Culture Technology(CT) and Research Development Program 2013.

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Authors and Affiliations

  1. Electronics and Telecommunication Research Institute (ETRI), Daejeon, South Korea

    SangHyun Seo & HunJoo Lee

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  1. SangHyun Seo
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  2. HunJoo Lee
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Correspondence to HunJoo Lee.

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Seo, S., Lee, H. Pixel based stroke generation for painterly effect using maximum homogeneity neighbor filter. Multimed Tools Appl 74, 3317–3328 (2015). https://doi.org/10.1007/s11042-013-1835-8

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