Curvature Scale Space (CSS) representation of planar curves is considered to be a modern tool in image processing and shape analysis. Direct Curvature Scale Space (DCSS) is defined as CSS that results from convolving the curvature of a curve with a Gaussian kernel directly. Recently a theory of DCSS in corner detection has been established. In the present paper the DCSS theory is considered to transform the DCSS image of a given curve into a tree organization, and then corners on the curve are detected and located in a multiscale sense. Experiments are conducted to show that the DCSS corner detector can work equally well as the CSS corner detector does on curves with multiple-size features, however, at much less computational cost.


Scale Space Planar Curf Line Pattern Tree Organization Shape Representation 
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

  • Baojiang Zhong
    • 1
  • Wenhe Liao
    • 2
  1. 1.Department of MathematicsNanjing university of Aeronautics, & AstronauticsNanjingChina
  2. 2.College of Mechanical and Electrical EngineeringNanjing university of Aeronautics & AstronauticsNanjingChina

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