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Proceedings Paper

Efficient graph-cut tattoo segmentation
Author(s): Joonsoo Kim; Albert Parra; He Li; Edward J. Delp
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Paper Abstract

Law enforcement is interested in exploiting tattoos as an information source to identify, track and prevent gang-related crimes. Many tattoo image retrieval systems have been described. In a retrieval system tattoo segmentation is an important step for retrieval accuracy since segmentation removes background information in a tattoo image. Existing segmentation methods do not extract the tattoo very well when the background includes textures and color similar to skin tones. In this paper we describe a tattoo segmentation approach by determining skin pixels in regions near the tattoo. In these regions graph-cut segmentation using a skin color model and a visual saliency map is used to find skin pixels. After segmentation we determine which set of skin pixels are connected with each other that form a closed contour including a tattoo. The regions surrounded by the closed contours are considered tattoo regions. Our method segments tattoos well when the background includes textures and color similar to skin.

Paper Details

Date Published: 4 March 2015
PDF: 8 pages
Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100H (4 March 2015); doi: 10.1117/12.2083419
Show Author Affiliations
Joonsoo Kim, Purdue Univ. (United States)
Albert Parra, Purdue Univ. (United States)
He Li, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 9410:
Visual Information Processing and Communication VI
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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