Technical Report - Randomized Hough Transform: Improved Ellipse Detection with Comparison

  • Authors:
  • Robert A. McLaughlin

  • Affiliations:
  • -

  • Venue:
  • Technical Report - Randomized Hough Transform: Improved Ellipse Detection with Comparison
  • Year:
  • 1997

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe an algorithm for the detection of ellipse shapes in images, using the Randomized Hough Transform. The algorithm is compared to a standard implementation of the Hough Transform, and the Probabilistic Hough Transform. Tests are performed using both noise-free and noisy images, and several real-world images. The algorithm was found to give improvements in accuracy, and a reduction in computation time, memory requirements and the number of false alarms detected.