A hybrid gradient for n-dimensional images through hyperspherical coordinates

  • Authors:
  • Ramón Moreno;Manuel Graña

  • Affiliations:
  • Computational Intelligence Group, University of the Basque Country, Spain;Computational Intelligence Group, University of the Basque Country, Spain

  • Venue:
  • HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
  • Year:
  • 2012

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Abstract

We propose a hybrid gradient which provides a good behavior on regions with different illumination. It avoids the shadow effects focusing on the detection of regions of the scene with different chromatic properties. It works with image intensity and chromaticity according with its intensity level emulating the Human Vision System (HVS). This gradient is grounded in the Hyperspherical coordinates, therefore it has a general propose and can be applied on RGB images, multi-spectral images or hyperspectral images.