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
Copyright Status
Unknown
Socpus ID
0033351639 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0033351639
STARS Citation
Weeks, A. R. and Sartor, L. J., "Color Morphological Operators Using Conditional And Reduced Ordering" (1999). Scopus Export 1990s. 4224.
https://stars.library.ucf.edu/scopus1990/4224