DocumentCode :
3185821
Title :
An algorithm for visualizing and detecting edges in RGB color images using logarithmic ratio approach
Author :
Almuntashri, A. ; Agaian, Sos
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
3942
Lastpage :
3947
Abstract :
In this paper, we present an algorithm for visualizing edges in RGB colored images as well as edge detection using logarithmic ratio approach. The developed visualization algorithm has a superior performance in highlighting more unforeseen color edges than the standard RGB-grayscale conversion method can present. Also, by integrating the proposed algorithm with a logarithmic-ratio based edge detector operator, the developed algorithm outperforms the standard edge detection operators in gradient colored images where color boundaries transitions are hard to detect.
Keywords :
data visualisation; edge detection; feature extraction; gradient methods; image colour analysis; RGB colored image; RGB grayscale conversion method; edge detection; edge visualization; gradient colored image; logarithmic ratio approach; Gray-scale; Image edge detection; RGB color; color edge detection; color extraction; logarithmic ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5642251
Filename :
5642251
Link To Document :
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