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Image registration using genetic algorithms

Published: 12 July 2008 Publication History

Abstract

This paper addresses the image registration problem applying genetic algorithms. The image registration's objective is the definition of a mapping that best match two set of points or images. In this work the point matching problem was addressed employing a method based on nearest-neighbor. The mapping was handled by affine transformations. Experiments were conducted using three 2D synthetic point-sets with different affine transformations and noise. The results were compared against other optimization techniques. The similarity of two point-sets is measured using the Euclidean distance between matched points.

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Nuske, S., Roberts, J. and Wyeth, G. Extending the Dynamic Range of Robotic Vision. Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006, 162--167.
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Cordón, O., Damas, S. and Santamaría, J. Feature-based image registration by means of the CHC evolutionary algorithm. Image and Vision Computing, v24, 2006, 525--533.
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Machowski, L.A. and Marwala, T. Evolutionary Optimisation Methods for Template Based Image Registration, School of Electrical and Information Engineering, 2004.
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Silva, L., Bellon, O.R.P. and Boyer, K.L. Precision Range Image Registration Using a Robust Surface Interpenetration Measure and Enhanced Genetic Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, v27 (5), 2005, 762--776.
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Goldberg, E.D. Genetic Algorithms in Search, Optimization and Machine Learning. Wesley Longman, 1989.
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Chui, H. and Rangarajan, A. A New Algorithm for Non-Rigid Point Matching. Proceedings of CVPR, v2, 2000, 40--51.

Cited By

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  • (2020)Registration with a small number of sparse measurementsInternational Journal of Robotics Research10.1177/027836491984232438:12-13(1403-1419)Online publication date: 17-Jun-2020
  • (2020)Multiple Start Branch and Prune Filtering Algorithm for Nonconvex OptimizationAlgorithmic Foundations of Robotics XII10.1007/978-3-030-43089-4_1(1-16)Online publication date: 7-May-2020
  • (2019)Image Registration Using Single Swarm PSO with Refined Search Space ExplorationPattern Recognition and Machine Intelligence10.1007/978-3-030-34869-4_37(337-346)Online publication date: 25-Nov-2019
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Published In

cover image ACM Conferences
GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation
July 2008
1814 pages
ISBN:9781605581309
DOI:10.1145/1389095
  • Conference Chair:
  • Conor Ryan,
  • Editor:
  • Maarten Keijzer
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 July 2008

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Author Tags

  1. affine transformation
  2. genetic algorithm
  3. image registration
  4. mapping
  5. matching

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Cited By

View all
  • (2020)Registration with a small number of sparse measurementsInternational Journal of Robotics Research10.1177/027836491984232438:12-13(1403-1419)Online publication date: 17-Jun-2020
  • (2020)Multiple Start Branch and Prune Filtering Algorithm for Nonconvex OptimizationAlgorithmic Foundations of Robotics XII10.1007/978-3-030-43089-4_1(1-16)Online publication date: 7-May-2020
  • (2019)Image Registration Using Single Swarm PSO with Refined Search Space ExplorationPattern Recognition and Machine Intelligence10.1007/978-3-030-34869-4_37(337-346)Online publication date: 25-Nov-2019
  • (2017)Global ray-casting range image registrationIPSJ Transactions on Computer Vision and Applications10.1186/s41074-017-0025-49:1Online publication date: 8-May-2017
  • (2013)Satellite images registration approach using Lorentzian norm with an artificial immune system2013 Saudi International Electronics, Communications and Photonics Conference10.1109/SIECPC.2013.6550796(1-3)Online publication date: Apr-2013
  • (2012)Affine image registration transformation estimation using a real coded genetic algorithm with SBXProceedings of the 14th annual conference companion on Genetic and evolutionary computation10.1145/2330784.2330990(1459-1460)Online publication date: 7-Jul-2012
  • (2012)C13. Region based image registration approach using an artificial immune system2012 29th National Radio Science Conference (NRSC)10.1109/NRSC.2012.6208531(263-270)Online publication date: Apr-2012
  • (2011)Automatic Global Registration of 3D Point Clouds for Reverse Engineering and Inspection ProcessesApplied Mechanics and Materials10.4028/www.scientific.net/AMM.110-116.4907110-116(4907-4913)Online publication date: Oct-2011
  • (2011)A Review of Bio-inspired Algorithms as Image Processing TechniquesSoftware Engineering and Computer Systems10.1007/978-3-642-22170-5_57(660-673)Online publication date: 2011
  • (2010)Remote sensing image registration techniquesProceedings of the 4th international conference on Image and signal processing10.5555/1875769.1875784(103-112)Online publication date: 30-Jun-2010
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