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
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;
Conference_Titel :
Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
Print_ISBN :
953-7044-01-7
DOI :
10.1109/VIPROM.2002.1026681
