Title :
Fuzzy models for color edge detection in impulse noise
Author :
Russo, Fabrizio ; Lazzari, A.
Author_Institution :
Dipt. di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
fDate :
6/24/1905 12:00:00 AM
Abstract :
Detection of edges in a color image is a very important step for a complete image understanding system. The presence of impulse noise, however, can significantly degrade the performance of the edge detection process. This paper shows how the combination of fuzzy models for nonlinear filtering and edge defection can provide a useful resource to address this issue.
Keywords :
edge detection; fuzzy logic; image colour analysis; impulse noise; color edge detection; fuzzy models; image understanding system; impulse noise; nonlinear filtering; Color; Colored noise; Degradation; Filtering; Fuzzy systems; Gray-scale; Image edge detection; Image processing; Noise cancellation; Pixel;
Conference_Titel :
Virtual and Intelligent Measurement Systems, 2002. VIMS '02. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7344-8
DOI :
10.1109/VIMS.2002.1009364