Journal of Intelligent & Robotic Systems

, Volume 66, Issue 3, pp 359–376

Circle Detection by Harmony Search Optimization

  • Erik Cuevas
  • Noé Ortega-Sánchez
  • Daniel Zaldivar
  • Marco Pérez-Cisneros
Article

DOI: 10.1007/s10846-011-9611-3

Cite this article as:
Cuevas, E., Ortega-Sánchez, N., Zaldivar, D. et al. J Intell Robot Syst (2012) 66: 359. doi:10.1007/s10846-011-9611-3

Abstract

Automatic circle detection in digital images has received considerable attention over the last years in computer vision as several novel efforts aim for an optimal circle detector. This paper presents an algorithm for automatic detection of circular shapes considering the overall process as an optimization problem. The approach is based on the Harmony Search Algorithm (HSA), a derivative free meta-heuristic optimization algorithm inspired by musicians improvising new harmonies while playing. The algorithm uses the encoding of three points as candidate circles (harmonies) over the edge-only image. An objective function evaluates (harmony quality) if such candidate circles are actually present in the edge image. Guided by the values of this objective function, the set of encoded candidate circles are evolved using the HSA so that they can fit into the actual circles on the edge map of the image (optimal harmony). Experimental results from several tests on synthetic and natural images with a varying complexity range have been included to validate the efficiency of the proposed technique regarding accuracy, speed and robustness.

Keywords

Circle detectionHarmony search algorithmMeta-heuristic algorithmsIntelligent image processing

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Erik Cuevas
    • 1
  • Noé Ortega-Sánchez
    • 1
  • Daniel Zaldivar
    • 1
  • Marco Pérez-Cisneros
    • 1
  1. 1.Departamento de Ciencias ComputacionalesUniversidad de Guadalajara, CUCEIGuadalajaraMéxico