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RESEARCH PRODUCT

A Combinatorial Color Edge Detector

Soufiane RitalHocine Cherifi

subject

Color histogramComputer scienceColor imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionColor spaceEdge detectionColor quantizationRGB color modelColor filter arrayArtificial intelligencebusinessImage gradientMathematicsofComputing_DISCRETEMATHEMATICS

description

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.

yearjournalcountryeditionlanguage
2004-01-01
https://doi.org/10.1007/978-3-540-30126-4_36