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4 March 2015 Efficient graph-cut tattoo segmentation
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Proceedings Volume 9410, Visual Information Processing and Communication VI; 94100H (2015)
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joonsoo Kim, Albert Parra, He Li, and Edward J. Delp III "Efficient graph-cut tattoo segmentation", Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100H (4 March 2015);


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