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A High-Speed VLSI Array Architecture for Euclidean Metric-Based Hausdorff Distance Measures Between Images

  • N. Sudha
  • E. P. Vivek
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3769)

Abstract

A new parallel algorithm to compute Euclidean metric-based Hausdorff distance measures between binary images (typically edge maps) is proposed in this paper. The algorithm has a running time of O(n) for images of size n × n. Further, the algorithm has the following features: (i) simple arithmetic (ii) identical computations at each pixel and (iii) computations using a small neighborhood for each pixel. An efficient cellular architecture for implementing the proposed algorithm is presented. Results of implementation using field-programmable gate arrays show that the measures can be computed for approximately 88000 image pairs of size 128×128 in a second. This result is valuable for real-time applications like object tracking and video surveillance.

Keywords

Binary Image Object Tracking Video Surveillance Foreground Pixel Clock Pulse 
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 2005

Authors and Affiliations

  • N. Sudha
    • 1
  • E. P. Vivek
    • 1
  1. 1.Department of Computer Science and EngineeringIndian Institute of TechnologyMadras

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