Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Morphological colour operators in totally ordered lattices based on distances: Application to image filtering, enhancement and analysis
 

Summary: Morphological colour operators in totally ordered lattices based
on distances: Application to image filtering, enhancement and analysis
Jesu´s Angulo *
Centre de Morphologie Mathe´matique--Ecole des Mines de Paris, 35, rue Saint-Honor, 77305 Fontainebleau, France
Received 14 April 2006; accepted 13 November 2006
Available online 12 January 2007
Communicated by Rastislav Lukac
Abstract
The extension of mathematical morphology operators to multi-valued functions, and in particular to colour images, is neither direct
nor general. In this paper, a generalisation of distance-based and lexicographical-based approaches is proposed, allowing the extension of
morphological operators to colour images for any colour representation (e.g., RGB, LSH and L*a*b*) and for any metric distance to a
reference colour. The performance of the introduced operators is illustrated by means of different applications: colour feature extraction
using openings (closings) by reconstruction, colour gradients for segmenting, colour denoising by the centre operator and colour
enhancement by the contrast mapping. Examples from natural colour images and biomedical microscopic colour images are given.
Ó 2007 Elsevier Inc. All rights reserved.
Keywords: Colour mathematical morphology; Colour distance; Multivariate ordering; Colour feature extraction; Colour noise removal; Colour contrast
enhancement; LSH; L*a*b*
1. Introduction
Mathematical morphology is the application of lattice
theory to spatial structures. This means that the definition

  

Source: Angulo,Jesús - Centre de Morphologie Mathématique, Ecole des Mines de Paris

 

Collections: Computer Technologies and Information Sciences