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Fast Hough Transform Based on 3D Image Space Division

  • Witold Zorski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)

Abstract

This paper presents a problem of 3D images decomposition into spheres. The presented method is based on a fast Hough transform with an input image space division. An essential element of this method is the use of a clustering technique for partial data sets. The method simplifies the application of Hough transform to segmentation tasks as well as accelerates calculations considerably.

Keywords

Input Image Binary Image Cluster Technique Hough Transform Segmentation Task 
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

  • Witold Zorski
    • 1
  1. 1.Cybernetics Faculty, Military University of TechnologyWarsawPoland

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