Mr. Joonsoo Kim Profile

Joonsoo Kim

at Purdue Univ

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Proceedings Article | 4 March 2015 Paper

Efficient graph-cut tattoo segmentation

Joonsoo Kim, Albert Parra, He Li, Edward Delp

Proceedings Volume 9410, 94100H (2015) https://doi.org/10.1117/12.2083419

KEYWORDS: Image segmentation, Skin, RGB color model, Image retrieval, Visualization, Visual process modeling, Data modeling, Picosecond phenomena, Image processing, Edge detection

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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.

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