SciELO - Scientific Electronic Library Online

 
vol.17 issue4Image Transform based on Alpha-Beta Associative MemoriesOn Efficiency of Detection of Subpixel Targets with Hypothesis Dependent Structured Background Power author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Computación y Sistemas

Print version ISSN 1405-5546

Abstract

CUEVAS, Erik  and  ORTEGA-SANCHEZ, Noé. Harmony Search Algorithm and its Use in Digital Image Processing. Comp. y Sist. [online]. 2013, vol.17, n.4, pp.543-560. ISSN 1405-5546.

Classical methods often face big difficulties in solving image processing problems when images contain noise and distortions. For such images, the use of optimization approaches has been extended. This paper explores application of the Harmony Search (HS) algorithm to digital image processing. HS is a meta-heuristic optimization algorithm inspired by musicians improvising new harmonies while performing. In this paper, we consider two tasks as examples: circle detection and motion estimation, both issues are approached as optimization problems. In such approach, circle detection uses a combination of three edge points as parameters to construct candidate circles. A matching function determines if such candidate circles are actually present in a given image. In motion estimation, the HS algorithm is used to find a motion vector that minimizes the sum of absolute differences between two consecutive images. Experimental results show that the generated solutions are able to properly solve the problems under consideration.

Keywords : Harmony search; circle detection; block matching; meta-heuristics algorithms; digital image processing.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License