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Conference Paper
Normalized Matting of Interest Region
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- Authors
- Jaehwan Kim, Ilkwon Jeong
- Issue Date
- 2013-07
- Citation
- International Symposium on Advances in Visual Computing (ISVC) 2013 (LNCS 8034), v.8034, pp.446-453
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we present an improved method of current closed-form solution for digital image matting. This method, which we call 'normalized matting of interest region', adopt the normalized cut technique where the objective function is normalized with the total degree of color similarities of foreground region. Unlike the existing solution, our method measures both the total dissimilarity between the foreground and background regions as well as the total similarity within foreground regions, which leads to better separation results, especially in case of extracting a specific region, rather than the closed-form solution. In addition, we employ a quadratic programming approach to solve the objective function to obtain a globally near-optimal matting result. Our method is empirically verified through several sample images. © 2013 Springer-Verlag.
- KSP Keywords
- Image Matting, Improved method, Interest region, Normalized cut, Objective function, Programming approach, closed-form solution, digital image, quadratic programming(QP)