Evaluative study of PSO/snake hybrid algorithm and gradient path labeling for calculating solar differential rotation

Ehsan Shahamatnia, André Mora, Ivan Dorotovič, Rita A. Ribeiro, José M. Fonseca

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

PSO/Snake hybrid algorithm is a merge of particle swarm optimization (PSO), a successful population based optimization technique, and the Snake model, a specialized image processing algorithm. In the PSO/Snake hybrid algorithm each particle in the population represents only a portion of the solution and the population, as a whole, will converge to the final complete solution. In this model there is a one-to-one relation between Snake model snaxels and PSO particles with the PSO’s kinematics being modified accordingly to the snake model dynamics. This paper provides an evaluative study on the performance of the customized PSO/Snake algorithm in solving a real-world problem from astrophysics domain and comparing the results with Gradient Path Labeling (GPL) image segmentation algorithm. The GPL algorithm segments the image into regions according to its intensity from where the relevant ones can be selected based on their features. A specific type of solar features called coronal bright points have been tracked in a series of solar images using both algorithms and the solar differential rotation is calculated accordingly. The final results are compared with those already reported in the literature.

Original languageEnglish
Title of host publication7th International Joint Conference on Computational Intelligence
PublisherSpringer-Verlag
Pages19-39
Number of pages21
Volume9770 LNCS
ISBN (Print)978-366253524-0
DOIs
Publication statusPublished - 2016
Event7th International Joint Conference on Computational Intelligence, IJCCI 2015 - Lisbon, Portugal
Duration: 12 Nov 201514 Nov 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9770 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference7th International Joint Conference on Computational Intelligence, IJCCI 2015
CountryPortugal
CityLisbon
Period12/11/1514/11/15

Keywords

  • Gradient path labeling
  • Image processing
  • Image segmentation
  • Object tracking
  • Particle swarm optimization
  • PSO/Snake hybrid algorithm
  • Snake model
  • Solar images

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