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ROIs Segmentation in Facial Images Based on Morphology and Density Concepts

  • Jesús García-RamírezEmail author
  • J. Arturo Olvera-López
  • Ivan Olmos-Pineda
  • Manuel Martín-Ortíz
Conference paper
  • 906 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10267)

Abstract

In computer vision, facial images have several applications such as Facial Expression Recognition and Face Recognition. The segmentation of Regions Of Interest (ROIs) in face images are relevant, because those provide information about facial expressions. In this paper a method to segment mouth and eyebrows in face images based on edge detection and pixel density is proposed. According to the experimental results, our approach extracts the ROIs in face images taken from different public datasets.

Keywords

Face images Face ROIs segmentation Image processing Expression recognition 

Notes

Aknowledgments

This work was partially supported by the CONACyT Mastering Scholarship 701191, and the project OLLJ-ING17-I, VIEP-BUAP.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jesús García-Ramírez
    • 1
    Email author
  • J. Arturo Olvera-López
    • 1
  • Ivan Olmos-Pineda
    • 1
  • Manuel Martín-Ortíz
    • 1
  1. 1.Faculty of Computer ScienceBenemérita Universidad Autónoma de PueblaPueblaMexico

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