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Design and Implementation of an Accelerated Gabor Filter Bank Using Parallel Hardware

  • Nikolaus Voß
  • Bärbel Mertsching
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2147)

Abstract

In computer vision, images are often preprocessed by the so-called Gabor transform. Using a Gabor filter bank, an image can be decomposed into orientational components lying in a specified frequency range. This biologically motivated decomposition simplifies higher level image processing like extraction of contours or pattern recognition. However, the IEEE floating-point implementation of this filter is too slow for real-time image-processing, especially if mobile applications with limited resources are targeted. This paper describes how this can be overcome by a hardware-implementation of the filter algorithm.

The actual implementation is preceded by an analysis of the algorithm analyzing the effects of reduced-accuracy calculus and the possibility of parallelizing the process. The target device is a Xilinx Virtex FPGA which resides on a PCI rapid-prototyping board.

Keywords

Gabor Filter High Dynamic Range Virtex FPGA Gabor Filter Bank Orientational Component 
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 2001

Authors and Affiliations

  • Nikolaus Voß
    • 1
  • Bärbel Mertsching
    • 1
  1. 1.Department of Computer Science,IMA LabUniversity of HamburgHamburgGermany

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