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A Robust Medical Image Recognition System Employing Edge-Based Feature Vector Representation

  • Masakazu Yagi
  • Tadashi Shibata
  • Chihiro Tanikawa
  • Kenji Takada
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

The medical image recognition system based on a robust edge-based feature vector representation, called Projected Principal-Edge Distribution (PPED), has been developed. The robust nature of the PPED vector representation has been demonstrated in the cephalometric landmark identification, expert dentists’ practice. In contradistinction with the previous works for the optimization of the PPED, the feasibility of the system has been demonstrated by applying to 26 cephalometric landmarks with 250 head films and the ones with the degradation. The system has been successfully applied to not only the cephalometric landmarks on the hard tissue but also the ones on the soft tissue without tuning the algorithm. The robust nature of the system against the degradation in the X-ray films has also been demonstrated.

Keywords

Recognition Performance Hard Tissue Template Generation Robust Nature European Signal Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Masakazu Yagi
    • 1
  • Tadashi Shibata
    • 2
  • Chihiro Tanikawa
    • 1
  • Kenji Takada
    • 1
  1. 1.Department of Orthodontics and Dentofacial Orthopedics, Graduate School of DentistryOsaka UniversitySuita, OsakaJapan
  2. 2.Department of Frontier Informatics, School of Frontier ScienceThe University of TokyoTokyoJapan

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