Applications of the Discrete Hodge Helmholtz Decomposition to Image and Video Processing

  • Biswaroop Palit
  • Anup Basu
  • Mrinal K. Mandal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

The Discrete Hodge Helmholtz Decomposition (DHHD) is able to locate critical points in a vector field. We explore two novel applications of this technique to image processing problems, viz., hurricane tracking and fingerprint analysis. The eye of the hurricane represents a rotational center, which is shown to be robustly detected using DHHD. This is followed by an automatic segmentation and tracking of the hurricane eye, which does not require manual initializations. DHHD is also used for identification of reference points in fingerprints. The new technique for reference point detection is relatively insensitive to noise in the orientation field. The DHHD based method is shown to detect reference points correctly for 96.25% of the images in the database used.

Keywords

Reference Point Video Processing Rotational Center Maximum Curvature Block Match Algorithm 
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 2005

Authors and Affiliations

  • Biswaroop Palit
    • 1
  • Anup Basu
    • 2
  • Mrinal K. Mandal
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada
  2. 2.Department of Computing ScienceUniversity of AlbertaEdmontonCanada

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