Mathieu, Bérengère and Crouzil, Alain
and Puel, Jean-Baptiste
Interactive segmentation: a scalable superpixel-based method.
(2017)
Journal of Electronic Imaging, 26 (6). 1-18. ISSN 1017-9909
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 1MB |
Official URL: https://doi.org/10.1117/1.JEI.26.6.061606
Abstract
This paper addresses the problem of interactive multiclass segmentation of images. We propose a fast and efficient new interactive segmentation method called superpixel alpha fusion (SaF). From a few strokes drawn by a user over an image, this method extracts relevant semantic objects. To get a fast calculation and an accurate segmentation, SaF uses superpixel oversegmentation and support vector machine classification. We compare SaF with competing algorithms by evaluating its performances on reference benchmarks. We also suggest four new datasets to evaluate the scalability of interactive segmentation methods, using images from some thousand to several million pixels. We conclude with two applications of SaF.
Item Type: | Article |
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Additional Information: | https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-26/issue-6/061606/Interactive-segmentation-a-scalable-superpixel-based-method/10.1117/1.JEI.26.6.061606.short |
Audience (journal): | International peer-reviewed journal |
Uncontrolled Keywords: | |
Institution: | French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Ecole Nationale Supérieure de Formation de l'Enseignement Agricole - ENSFEA (FRANCE) Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE) Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE) |
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Deposited On: | 07 Nov 2018 10:10 |
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