An Hypergraph Object Oriented Model for Image Segmentation and Annotation

This paper presents a system for segmentation of images into regions and annotation of these regions for semantic identification of the objects present in the image. The unified method for image segmentation and image annotation uses an hypergraph model constructed on the hexagonal structure. The hypergraph structure is used for representing the initial image, the results of segmentation processus and the annotation information together with the RDF ontology format. Our technique has a time complexity much lower than the methods studied in the specialized literature, and the experimental results on the Berkeley Dataset show that the performance of the method is robust.

• Type: Journal
• Year: 2010
• Where: IMCSIT
• Authors: Eugen Ganea, Marius Brezovan
• Keywords: Annotation, Image, IMCSIT 2010, Information Technology, RDF Ontology Format