Abstract
In this paper, we present an edge detection approach in color image using neighborhood hypergraph. The edge structure is detected by a structural model. The Color Image Neighborhood Hypergraph (CINH) representation is first computed, then the hyperedges of CINH are classified into noise or edge based on hypergraph properties. To evaluate the algorithm performance, experiments were carried out on synthetic and real color images corrupted by alpha-stable noise. The results show that the proposed edge detector finds the edges properly from color images. © Springer-Verlag 2004.
Author supplied keywords
Cite
CITATION STYLE
Rital, S., & Cherifi, H. (2004). A combinatorial color edge detector. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3212, 289–297. https://doi.org/10.1007/978-3-540-30126-4_36
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
