DocumentCode
1551290
Title
Algorithms for color image edge enhancement using potential functions
Author
Sindoukas, D. ; Laskaris, N. ; Fotopoulos, S.
Author_Institution
Dept. of Phys., Patras Univ., Greece
Volume
4
Issue
9
fYear
1997
Firstpage
269
Lastpage
272
Abstract
This letter deals with the color image edge enhancement issue using clustering ideas and based on the use of potential functions (Parzen windows). Two algorithms are proposed. The first uses potential functions (PF´s) and selects the output as the vector maximizing the PF. The second one elaborates further by employing the mountain clustering method and modifying it appropriately. Both algorithms are robust in the presence of noise, Gaussian and impulsive.
Keywords
Gaussian distribution; Gaussian noise; edge detection; filtering theory; functions; image colour analysis; image enhancement; Gaussian noise; Parzen windows; color image edge enhancement; impulsive noise; mountain clustering method; potential functions; Aggregates; Clustering algorithms; Clustering methods; Filtering; Gaussian noise; Gray-scale; Image analysis; Image color analysis; Machine vision; Noise robustness;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.623046
Filename
623046
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