A combinatorial edge detection algorithm on noisy images
Soufiane Rital, Alain Bretto, Hocine Cherifi, Driss Aboutajdine · 2003
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.