MSRM Based Object Extraction Method for Image Sequences

Wen Ting Yu; Jing Ling Wang; Long Ye

doi:10.4028/www.scientific.net/AMR.1049-1050.1675

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050MSRM Based Object Extraction Method for Image...

MSRM Based Object Extraction Method for Image Sequences

Abstract:

Object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method based on MSRM (maximal similarity based region merging) is presented in this paper. We can manually mark the target and background only one time in any one image of the image sequence to obtain the object extraction result of the image sequence. Compared to currently used method based on graph cut algorithm that manually marks the target and background on all the images one by one to get the object extraction result, our method is more efficient and the result is as precious as with other methods.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1675-1680

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1675

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Online since:

October 2014

Authors:

Wen Ting Yu*, Jing Ling Wang, Long Ye

Keywords:

MSRM, Object Extraction, SLIC-Super Pixel

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* - Corresponding Author

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