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International Journal of Pattern Recognition and Artificial Intelligence
 

Summary: International Journal of Pattern Recognition
and Artificial Intelligence
Vol. 20, No. 8 (2006) 1207­1223
c World Scientific Publishing Company
MORPHOLOGICAL COLOR IMAGE SIMPLIFICATION BY
SATURATION-CONTROLLED REGIONAL LEVELINGS
JES´US ANGULO
Centre de Morphologie Math´ematique, Ecole des Mines de Paris
35 rue Saint-Honor´e, F-77300 Fontainebleau, France
jesus.angulo@ensmp.fr
This paper deals with color image simplification using levelings. This class of con-
nected filters suppresses details but preserves the contours of the remaining structures or
objects. As the notion of "color structure" is not trivial, the formulation of morphologi-
cal operators for color images involves many open issues. The principle choice of a well-
defined color space is crucial and it is proposed to work on a luminance/saturation/hue
representation defined by the norm L1. A family of morphological color operators is then
introduced using the classical formulation with total orderings by means of lexicographic
cascades. In this framework, a methodology for color image simplification is introduced,
which takes advantage of a saturation-controlled combination of the chromatic and the
achromatic (or the spectral and the spatio-geometric) components. More precisely, it is

  

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

 

Collections: Computer Technologies and Information Sciences