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Proceedings Paper

Object segmentation using graph cuts based edges features
Author(s): Yuki Masumoto; Weiwei Du; Nobuyuki Nakamori
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Paper Abstract

The paper presents a simple graph cuts algorithm based edges features to object segmentation problems. The user gives some scribbles to background and foreground of an image. Gaussian mixture models(GMMs) are built based on the scribbles. The pixel without scribble belongs to the background or the foreground depending on the relative probability of each pixel. The contribution of our paper is to add edges features to GMMs. The approach is applied with images from the Grab cuts segmentation database. The approach is suitable for images with noise and in the foreground and background with similar colors.

Paper Details

Date Published: 19 February 2013
PDF: 9 pages
Proc. SPIE 8655, Image Processing: Algorithms and Systems XI, 86550I (19 February 2013); doi: 10.1117/12.2006531
Show Author Affiliations
Yuki Masumoto, Kyoto Institute of Technology (Japan)
Weiwei Du, Kyoto Institute of Technology (Japan)
Nobuyuki Nakamori, Kyoto Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 8655:
Image Processing: Algorithms and Systems XI
Karen O. Egiazarian; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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