NDLI: Automatic segmentation of object region using Graph Cuts based on saliency maps and AdaBoost

Content Provider	IEEE Xplore Digital Library
Author	Fukuda, K. Takiguchi, T. Ariki, Y.
Copyright Year	2009
Description	Author affiliation: Graduate School of Engineering, Kobe University, Japan (Fukuda, K.) \|\| Organization of Advanced Science and Technology, Kobe University, Japan (Takiguchi, T.; Ariki, Y.)
Abstract	In conventional methods for region segmentation of objects, the best segmentation results have been obtained by semi-automatic or interactive methods that require a small amount of user input. In this study, we propose a new technique for automatically obtaining segmentation of a flower region by using visual attention (saliency maps) as the prior probability in Graph Cuts. First, AdaBoost determines an approximate flower location using a rectangular window in order to learn the object and background color information using two Gaussian mixture models. We then extract visual attention using saliency maps of the image, and used them as a prior probability of the object model (spatial information). Bayes' theorem gives a posterior probability using the prior probability and the likelihood from GMMs, and the posterior probability is used as t-link cost in Graph Cuts, where no manual labeling of image regions is required. The effectiveness of our approach is confirmed by experiments of region segmentation on flower images.
Starting Page	36
Ending Page	37
File Size	164523
Page Count	2
File Format	PDF
ISBN	9781424429752
DOI	10.1109/ISCE.2009.5156907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Object detection Labeling Iterative methods Consumer electronics Data mining Pixel Image analysis Cost function Iterative algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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