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Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining

  • Mohd Hanafi Ahmad Hijazi
  • Chuntao Jiang
  • Frans Coenen
  • Yalin Zheng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6912)

Abstract

Age-related Macular Degeneration (AMD) is the most common cause of adult blindness in the developed world. This paper describes a new image mining technique to perform automated detection of AMD from colour fundus photographs. The technique comprises a novel hierarchical image decomposition mechanism founded on a circular and angular partitioning. The resulting decomposition is then stored in a tree structure to which a weighted frequent sub-tree mining algorithm is applied. The identified sub-graphs are then incorporated into a feature vector representation (one vector per image) to which classification techniques can be applied. The results show that the proposed approach performs both efficiently and accurately.

Keywords

Hierarchical image decomposition weighted graph mining image partitioning image classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mohd Hanafi Ahmad Hijazi
    • 1
    • 3
  • Chuntao Jiang
    • 1
  • Frans Coenen
    • 1
  • Yalin Zheng
    • 2
  1. 1.Department of Computer ScienceUniversity of LiverpoolLiverpoolUK
  2. 2.Department of Eye and Vision Science, Institute of Ageing and Chronic DiseaseUniversity of LiverpoolLiverpoolUK
  3. 3.School of Engineering and Information TechnologyUniversiti Malaysia SabahKota KinabaluMalaysia

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