The Use of Multi-scale Monogenic Signal on Structure Orientation Identification and Segmentation

  • Xiao-Bo Pan
  • Michael Brady
  • Ralph Highnam
  • Jérôme Declerck
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4046)


A method of extracting salient image features in mammograms at multiple scales using the monogenic signal is presented. The derived local phase provides structure information (such as edge, ridge etc.) while the local amplitude encodes the local brightness and contrast information. Together with the simultaneously computed orientation, these three pieces of information can be used for mammogram segmentation including locating the inner breast edge which is important for quantitative breast density assessment. Due to the contrast invariant property of the local phase, the algorithm proves to be very reliable on an extensive datasets of images obtained from various sources and digitized by different scanners.


Breast Density Digital Mammography Local Phase Digitize Mammogram Mammogram Image 
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 2006

Authors and Affiliations

  • Xiao-Bo Pan
    • 1
  • Michael Brady
    • 2
  • Ralph Highnam
    • 1
  • Jérôme Declerck
    • 1
  1. 1.Siemens Molecular Imaging LimitedOxfordUK
  2. 2.University of OxfordOxfordUK

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