Color morphology-like operators based on color geometric shape characteristics

Zaharescu, Eugen; Zamfir, Marta; Vertan, Constantin

doi:10.1109/scs.2003.1226969

Cited by 15 publications

(7 citation statements)

References 10 publications

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“…The color image of the sharp-edged domestic objects (scissors forks and knifes) is enhanced using morphological geometric descriptors in color vector space for partial ordering [9].…”

Section: S1 Color Image Enhancementmentioning

confidence: 99%

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Morphological Algorithm for Color Objects Classification

Zaharescu

2009

2009 Fourth Balkan Conference in Informatics

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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.

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“…The color image of the sharp-edged domestic objects (scissors forks and knifes) is enhanced using morphological geometric descriptors in color vector space for partial ordering [9].…”

Section: S1 Color Image Enhancementmentioning

confidence: 99%

“…This is defined by the color pseudo-dilation and pseudo-erosion based on the same geometric descriptors of color vectors for partial ordering of color vector space [9].…”

Section: S2 Color Image Gradientmentioning

confidence: 99%

Morphological Algorithm for Color Objects Classification

Zaharescu

2009

2009 Fourth Balkan Conference in Informatics

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“…In [27], J. Li and Y. Li proposed an R-ordering based on fuzzy first principal component in RGB colour space, and in [56], Wheeler and Zmuda a R-ordering with vector projections in RGB. And in [59], Zaharescu et al explored R-orderings based on a geometrical interpretation of a triangle representation of colours.…”

Section: Introductionmentioning

confidence: 99%

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

Angulo

2007

Computer Vision and Image Understanding

116

111

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“…Previously, many efficient algorithms for color contrast enhancement have been successfully developed. Based on reducing color ordering approach [2], Zaharescu et al [31] presented a color contrast enhancement algorithm. Based on the curvelet transform approach [4,26], Starck et al [25] presented an efficient algorithm for color contrast enhancement.…”

Section: Introductionmentioning

confidence: 99%