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Hierarchy-Based Salient Regions: A Region Detector Based on Hierarchies of Partitions

  • Karla Otiniano-RodríguezEmail author
  • Arnaldo de A. Araújo
  • Guillermo Cámara-Chávez
  • Jean Cousty
  • Silvio Jamil F. Guimarães
  • Benjamin Perret
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11401)

Abstract

This article introduces a novel region detector based on hierarchies of partitions, so-called Hierarchy-Based Salient Regions (HBSR). This approach enables to combine the clues given by a high quality contour detector with a custom salient region detection procedure. The evaluation of the proposed method HBSR with a standard feature detection assessment framework shows that HBSR outperforms the state-of-the-art methods, in average. These promising results may lead to improvements in many computer vision tasks.

Keywords

Region detector Mathematical morphology Hierarchy of partitions Computer vision 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Karla Otiniano-Rodríguez
    • 1
    • 2
    Email author
  • Arnaldo de A. Araújo
    • 1
    • 2
  • Guillermo Cámara-Chávez
    • 3
  • Jean Cousty
    • 1
  • Silvio Jamil F. Guimarães
    • 1
    • 4
  • Benjamin Perret
    • 1
  1. 1.University Paris-Est, LIGM, A3SI, ESIEEParisFrance
  2. 2.Federal University of Minas Gerais, Computer Science DepartmentBelo HorizonteBrazil
  3. 3.Federal University of Ouro Preto, Computer Science DepartmentOuro PretoBrazil
  4. 4.Pontifical Catholic University of Minas Gerais, Computer Science DepartmentBelo HorizonteBrazil

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