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An Alternative Curvature Measure for Topographic Feature Detection

  • Jayanthi Sivaswamy
  • Gopal Datt Joshi
  • Siva Chandra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4338)

Abstract

The notion of topographic features like ridges, trenches, hills, etc. is formed by visualising the 2D image function as a surface in 3D space. Hence, properties of such a surface can be used to detect features from images. One such property, the curvature of the image surface, can be used to detect features characterised by a sharp bend in the surface. Curvature based feature detection requires an efficient technique to estimate/calculate the surface curvature. In this paper, we present an alternative measure for curvature and provide an analysis of the same to determine its scope. Feature detection algorithms using this measure are formulated and two applications are chosen to demonstrate their performance. The results show good potential of the proposed measure in terms of efficiency and scope.

Keywords

Feature Detection Image Surface Curvature Measure Medial Point Crest Line 
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

  • Jayanthi Sivaswamy
    • 1
  • Gopal Datt Joshi
    • 1
  • Siva Chandra
    • 1
  1. 1.Centre for Visual Information TechnologyIIIT HyderabadIndia

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