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Salient Region Detection and Segmentation

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Computer Vision Systems (ICVS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5008))

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Abstract

Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. In this paper we present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. We demonstrate the use of the algorithm in the segmentation of semantically meaningful whole objects from digital images.

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Antonios Gasteratos Markus Vincze John K. Tsotsos

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© 2008 Springer-Verlag Berlin Heidelberg

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Achanta, R., Estrada, F., Wils, P., Süsstrunk, S. (2008). Salient Region Detection and Segmentation. In: Gasteratos, A., Vincze, M., Tsotsos, J.K. (eds) Computer Vision Systems. ICVS 2008. Lecture Notes in Computer Science, vol 5008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79547-6_7

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  • DOI: https://doi.org/10.1007/978-3-540-79547-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79546-9

  • Online ISBN: 978-3-540-79547-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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