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Image Segmentation Through Dual Pyramid of Agents

  • K. Idir
  • H. Merouani
  • Y. Tlili
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

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.

Keywords

Dual Pyramid Image Segmentation Multi-agent System Region/Edge Cooperation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • K. Idir
    • 1
  • H. Merouani
    • 1
  • Y. Tlili
    • 1
  1. 1.Laboratory of computer science Research., Pattern Recognition Group, Dept. of computer science – Faculty of engineer scienceBadji Mokhtar UniversityAnnabaAlgeria

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