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Salient object detection using the phase information and object model

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A Correction to this article was published on 11 March 2019

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Abstract

One of the most important features of saliency detection algorithms is to reduce the size of processing data for algorithms with higher processing size such as object detection algorithms. A main condition for algorithms of saliency detection to be used in detecting the object in the image is their low processing size and broadness of the application extent while having acceptable precision. In this article we introduce a Salient Object Detection method using Task Simulation (SOD-TS). This method has a low processing size and wide functional domain using task simulation (object model). Our proposed method has a wide range of application including ship detection, words and letter detection in texts, etc. Relying on the task simulation (object model), SOD-TS method detects the salient object which is the best response to the current task. It uses the information of the frequency domain.

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  • 11 March 2019

    The article Salient object detection using the phase information and object model, written by Hooman Afsharirad and Seyed Alireza Seyedin, was originally published electronically on the publisher’s internet portal (currently SpringerLink) on February 7, 2019 with open access.

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Authors and Affiliations

  1. Khorasan Institute of Higher Education, Moalem 77, Mashhad, Iran

    Hooman Afsharirad

  2. Faculty of Engineering, Ferdowsi University of Mashhad, Azadi square, Mashhad, Iran

    Seyed Alireza Seyedin

Authors
  1. Hooman Afsharirad
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  2. Seyed Alireza Seyedin
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Correspondence to Hooman Afsharirad.

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The original version of this article was revised due to retrospective open access.

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Afsharirad, H., Seyedin, S.A. Salient object detection using the phase information and object model. Multimed Tools Appl 78, 19061–19080 (2019). https://doi.org/10.1007/s11042-019-7255-7

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  • DOI: https://doi.org/10.1007/s11042-019-7255-7

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