Image segmentation through dual pyramid of agents

Authors:
K. Idir;H. Merouani;Y. Tlili
Affiliations:
Laboratory of computer science Research., Pattern Recognition Group, Dept. of computer science – Faculty of engineer science, Badji Mokhtar University, Annaba, Algeria;Laboratory of computer science Research., Pattern Recognition Group, Dept. of computer science – Faculty of engineer science, Badji Mokhtar University, Annaba, Algeria;Laboratory of computer science Research., Pattern Recognition Group, Dept. of computer science – Faculty of engineer science, Badji Mokhtar University, Annaba, Algeria
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

An effective method for the early detection of breast cancer is the mammographic screening. One of the most important signs of early breast cancer is the presence of microcalcifications. For the detection of microcalcification in a mammography image, we propose to conceive a multi-agent system based on a dual irregular pyramid. An initial segmentation is obtained by an incremental approach; the result represents level zero of the pyramid. The edge information obtained by application of the Canny filter is taken into account to affine the segmentation. The edge-agents and region-agents cooper level by level of the pyramid by exploiting its various characteristics to provide the segmentation process convergence.