Title
Morphological Operators Aid Nonlinear Filtering Of Color Images
Abstract
A set of color morphological operations developed for nonlinear filtering of color images are discussed. Color images are defined in terms of a red, green and blue component (RGB color model). Each component is represented by a gray level proportional to its intensity and the RGB color space is formed by using the red, green and blue intensities as the three dimensions of a Cartesian coordinate system. An entire area of nonlinear filtering is based upon order statistics, which requires that the data defined by the filter mask be ordered from its minimum value to its maximum value.
Publication Date
10-1-2004
Publication Title
Laser Focus World
Volume
40
Issue
10
Number of Pages
-
Document Type
Review
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
8344263873 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/8344263873
STARS Citation
Weeks, Arthur R.; Richie, Samuel S.; and Sartor, Lloyd J., "Morphological Operators Aid Nonlinear Filtering Of Color Images" (2004). Scopus Export 2000s. 5040.
https://stars.library.ucf.edu/scopus2000/5040