Title :
Morphological Algorithm for Color Objects Classification
Author :
Zaharescu, Eugen
Author_Institution :
Math. & Inf. Fac., Ovidius Univ. of Constanta, Constanta, Romania
Abstract :
A mathematical morphology based approach for automated classification of color objects is explored in this paper. Using an adapted set of mathematical morphology operators, the initial color images are analyzed until final color classification is accomplished. Morphological feature extraction algorithm includes morphological color gradient, homotopic skeleton, Hit-or-Miss transform and other special morphological processing steps. In the end, illustrative application examples of the presented approach on real acquired images are also provided.
Keywords :
feature extraction; image classification; image colour analysis; mathematical morphology; automated classification; color classification; color object classification; hit-or-miss transform; homotopic skeleton; mathematical morphology operators; morphological algorithm; morphological color gradient; morphological feature extraction algorithm; Feature extraction; Gray-scale; Image analysis; Image color analysis; Image converters; Image reconstruction; Informatics; Morphology; Pixel; Skeleton; algorithm; extraction; feature; gradient; homotopic; morphological; skeleton;
Conference_Titel :
Informatics, 2009. BCI '09. Fourth Balkan Conference in
Conference_Location :
Thessaloniki
Print_ISBN :
978-0-7695-3783-2
DOI :
10.1109/BCI.2009.17