Quantized Local Edge Distribution: A Descriptor for B-mode Ultrasound Images

  • Wing-Yin Chan
  • Yim-Pan Chui
  • Pheng-Ann Heng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8090)


This paper presents an illumination invariant, histogram equalization invariant, rotation-robust and spatially stable texture descriptor for B-mode ultrasound images. We design a new edge-encoding descriptor that captures edge distributions of ultrasound textures. The distribution of edges categorized by their strength forms a signature of a specific textural pattern. Oriented edges are first quantized into different levels of salience according to local contrast and then aggregated to polar bins. A distance function that incorporates with our descriptor for effective texture comparison is introduced. The performance of the proposed descriptor is evaluated by various experiments.


B-mode ultrasound image image descriptor edge statistic 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Wing-Yin Chan
    • 1
  • Yim-Pan Chui
    • 1
  • Pheng-Ann Heng
    • 1
  1. 1.Department of Computer Science and EngineeringThe Chinese University of Hong KongHong Kong

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