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Proceedings Paper

Color morphological operators using conditional and reduced ordering
Author(s): Arthur Robert Weeks; Lloyd J. Sartor
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Paper Abstract

Morphological image processing has been widely used to process binary and grayscale images, with morphological techniques being applied to noise reduction, image enhancement, and feature detection. Relying on an ordering of the data, morphology modifies the geometrical aspects of an image. Extending morphological operators to color image processing has been problematic because it is not easy to define geometry of a vector-valued function and ordering of vectors is not straightforward. We describe and demonstrate color morphological operators based on a combination of reduced- ordering and conditional-ordering of the underlying data.

Paper Details

Date Published: 18 October 1999
PDF: 9 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365848
Show Author Affiliations
Arthur Robert Weeks, Univ. of Central Florida (United States)
Lloyd J. Sartor, Siemens Telecom Networks (United States)


Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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