Title

Color Morphological Operators Using Conditional And Reduced Ordering

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.

Publication Date

12-1-1999

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

3808

Number of Pages

358-366

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0033351639 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0033351639

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