Improved Color Image Segmentation Algorithm Based on GrabCut

Wang Rui; Jin Ye Peng; Li Ping Che; Yu Ting Hou

doi:10.4028/www.scientific.net/AMM.373-375.464

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Improved Color Image Segmentation Algorithm Based...

Improved Color Image Segmentation Algorithm Based on GrabCut

Abstract:

In realistic image processing, it is a problem of image foreground extraction. For a large number of color image processing, an important requirement is the automation of the extraction process. In this paper, by automatically setting foreground seed, we improve the image existing segmentation algorithm; by automatically searching image segmentation region, we accomplish image segmentation with the GrabCut algorithm, which is based on Gaussian Mixture Model and boundary computing. The improved algorithm in this paper can achieve the automation of image segmentation, without user participation in the implementation process, at the same time, it improves the efficiency of image segmentation, and gets a good result of image segmentation in complex background.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

464-467

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.464

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Online since:

August 2013

Authors:

Wang Rui, Jin Ye Peng, Li Ping Che, Yu Ting Hou

Keywords:

Foreground Extraction, Grabcut, Mage Segmentation

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References

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