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Evaluation of Image Segmentation Algorithms from the Perspective of Salient Region Detection

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6915))

Abstract

The present paper addresses the problem of image segmentation evaluation by comparing seven different approaches. We are presenting a new method of salient object detection with very good results relative to other already known object detection methods. We developed a simple evaluation framework in order to compare the results of our method with other segmentation methods. The results of our experimental work offer good perspectives for our algorithm, in terms of efficiency and precision.

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Author information

Authors and Affiliations

  1. Software Engineering Department, University of Craiova, Craiova, Bd. Decebal 107, Romania

    Bogdan Popescu, Andreea Iancu, Dumitru Dan Burdescu, Marius Brezovan & Eugen Ganea

Authors
  1. Bogdan Popescu
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  2. Andreea Iancu
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  3. Dumitru Dan Burdescu
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  4. Marius Brezovan
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  5. Eugen Ganea
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Editor information

Editors and Affiliations

  1. DGA, 7-9 rue des mathurins, 92 221, Bagneux, France

    Jacques Blanc-Talon

  2. VITO-TAP, Boeretang 200, 2400, MOl, Belgium

    Richard Kleihorst

  3. Ghent University, St. -Pietersnieuwstraat 41, B9000, Ghent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre, Epping,, Po Box 76, 1710, Sydney, NSW, Australia

    Dan Popescu

  5. Physics, University of Antwerp, Universiteitsplein 1; Building N, 2610, Wilrijk, Belgium

    Paul Scheunders

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© 2011 Springer-Verlag Berlin Heidelberg

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Popescu, B., Iancu, A., Dan Burdescu, D., Brezovan, M., Ganea, E. (2011). Evaluation of Image Segmentation Algorithms from the Perspective of Salient Region Detection. In: Blanc-Talon, J., Kleihorst, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2011. Lecture Notes in Computer Science, vol 6915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23687-7_17

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  • DOI: https://doi.org/10.1007/978-3-642-23687-7_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23686-0

  • Online ISBN: 978-3-642-23687-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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