Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Mathematical morphology in the HSI colour space
Year:2007
Research Areas
  • Mathematics,
  • Automatic
Information
Abstract
Mathematical Morphology is a powerful non-linear image analysis techniques based on lattice theory. The definitions of morphological operators need an ordered lattice algebraic structure. In order to apply these operators to the colour images it is required, on one hand the choice of a suitable colour space representation and on the other hand, to establish an order in the colour space providing an ordered lattice algebraic structure. The HSI space represents the colour in terms of physical attributes that separate the achromatic component from the chromatic one and it yields a more intuitive description of the colour properties than the RGB space. The suggested order weighs the hue and the intensity according to the saturation level: it has a lexicographical order in which the intensity has priority if the saturation is high, and the hue has priority if the saturation is low.
International
Si
Book Edition
1
Book Publishing
Lecture Notes in Computer Science Springer
ISBN
978-3-540-72848-1
Series
4478
Book title
Pattern Recognition and Image Analysis
From page
467
To page
474
Participants
  • Autor: M. del Carmen Tobar Puente (UPM)
  • Autor: Gabriel Asensio Madrid (UPM)
  • Autor: Carlos Platero Dueñas (UPM)
  • Autor: Pedro Maria Gonzalez Manchon (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Bioingeniería Aplicada
  • Departamento: Electrónica, Automática e Informática Industrial
  • Departamento: Matemática Aplicada (E.U.I.T. Industrial)
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)