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Geometric moment extraction equipment for image processing applications.

Ahlad Kumar1, Raveendran Paramesran1

  • 1Department of Electrical Engineering, University of Malaya, Kuala Lumpur, Malaysia.

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|May 3, 2014
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Summary
This summary is machine-generated.

This study introduces novel hardware for calculating geometric moments, significantly improving speed and reducing power consumption by half and threefold, respectively. The efficient design accelerates computations for advanced image processing applications.

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Area of Science:

  • Electrical Engineering
  • Computer Engineering
  • Digital Signal Processing

Background:

  • Geometric moments are crucial for image analysis and pattern recognition.
  • Existing hardware implementations face limitations in speed and power efficiency.

Purpose of the Study:

  • To present a novel hardware design for calculating higher-order geometric moments.
  • To analyze and compare the performance of the proposed hardware against existing systems.

Main Methods:

  • The proposed equipment utilizes accumulators, adders, subtractors, and multiplier blocks.
  • Performance analysis focused on computational time and power dissipation at 10 MHz.
  • Hardware implementation in BSIM4.3.0 50 nm technology at 1 V, verified with P-Spice.

Main Results:

  • Computational time for geometric moments is reduced by 50%.
  • Power dissipation is reduced by approximately 67% (factor of 3).
  • Functionality verified through P-Spice simulation.

Conclusions:

  • The proposed hardware offers a significant advancement in efficient geometric moment calculation.
  • This design provides a faster and more power-efficient solution for image processing tasks.
  • The implemented hardware demonstrates practical viability for real-world applications.