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Journal of Electronic Imaging

Morphological operations on color images
Author(s): Lloyd J. Sartor; Arthur Robert Weeks
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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: object contours in binary images and object surfaces in grayscale images. 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 propose a new set of color morphological operators based on a combination of reduced ordering and conditional ordering of the underlying data.

Paper Details

Date Published: 1 April 2001
PDF: 12 pages
J. Electron. Imaging. 10(2) doi: 10.1117/1.1353199
Published in: Journal of Electronic Imaging Volume 10, Issue 2
Show Author Affiliations
Lloyd J. Sartor, Siemens Information and Communications Networks (United States)
Arthur Robert Weeks, Univ. Central Florida (United States)


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