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Quaternion Atomic Function for Image Processing

  • Eduardo Bayro-Corrochano
  • Eduardo Ulises Moya-Sánchez

Abstract

In this work we introduce a new kernel for image processing called the atomic function. This kernel is compact in the spatial domain, and it can be adapted to the behavior of the input signal by broadening or narrowing its band ensuring a maximum signal-to-noise ratio. It can be used for smooth differentiation of images in the quaternion algebra framework. We discuss the role of the quaternion atomic function with respect to monogenic signals. We then propose a steerable quaternion wavelet scheme for image structure and contour detection. Making use of the generalized Radon transform and images processed with the quaternion wavelet atomic function transform, we detect shape contours in color images. We believe that the atomic function is a promising kernel for image processing and scene analysis.

Keywords

Atomic Function Geometric Algebra Monogenic Function Quaternion Algebra Complex Wavelet 
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.

Notes

Acknowledgements

We want to thank the financial support of the SEP/CONACYT - 2007-1 82084 grant.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Eduardo Bayro-Corrochano
    • 1
  • Eduardo Ulises Moya-Sánchez
    • 1
  1. 1.Campus GuadalajaraCINVESTAVJaliscoMexico

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