DocumentCode
2127899
Title
A combinatorial edge detection algorithm on noisy images
Author
Rital, S. ; Bretto, A. ; Cherifi, H. ; Aboutajdine, D.
Author_Institution
Faculte des Sci. Mirande, Bourgogne Univ., Dijon, France
fYear
2002
fDate
2002
Firstpage
351
Lastpage
355
Abstract
In this paper, we present an algorithm for edge detection in noisy images. First, an image adaptive neighborhood hypergraph (IANH) representation is computed. Next, a detection procedure based on hypergraph properties is used to classify hyperedges either as noise, edges or region. The application of this technique to noisy images has resulted in a considerable improvement in performance as compared to classical approaches.
Keywords
adaptive signal processing; combinatorial mathematics; edge detection; graph theory; image classification; image denoising; image representation; IANH representation; combinatorial edge detection algorithm; hyperedge classification; image adaptive neighborhood hypergraph; noisy images; performance; Application software; Computer vision; Degradation; Filters; Gaussian noise; Image edge detection; Image processing; Smoothing methods; Solid modeling; Surface fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
Print_ISBN
953-7044-01-7
Type
conf
DOI
10.1109/VIPROM.2002.1026681
Filename
1026681
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