Affine image registration transformation estimation using a real coded genetic algorithm with SBX

Mosab Bazargani; António Dos Anjos; Fernando G. Lobo; Ali Mollahosseini; Hamid Reza Shahbazkia

doi:10.1145/2330784.2330990

Affine image registration transformation estimation using a real coded genetic algorithm with SBX

Mosab Bazargani^*, António Dos Anjos, Fernando G. Lobo, Ali Mollahosseini, Hamid Reza Shahbazkia

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

5 Citations (Scopus)

Abstract

We describe the application of a real coded genetic algorithm (GA) to align two or more 2-D images by means of image registration. The proposed search strategy is a transformation parameters-based approach involving the affine transform. The real coded GA uses Simulated Binary Crossover (SBX). In addition, we propose a new technique for matching points between a warped and static images by using a randomized ordering when visiting the points during the matching procedure. The results confirm the usefulness of the proposed noisy objective function and the suitability of SBX as a recombination operator for this type of problem. Copyright is held by the author/owner(s).

Original language	English
Title of host publication	GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
Pages	1459-1460
Number of pages	2
DOIs	https://doi.org/10.1145/2330784.2330990
Publication status	Published - 2012
Event	14th International Conference on Genetic and Evolutionary Computation, GECCO'12 - Philadelphia, PA, United States of America Duration: 07 Jul 2012 → 11 Jul 2012

Conference

Conference	14th International Conference on Genetic and Evolutionary Computation, GECCO'12
Country/Territory	United States of America
City	Philadelphia, PA
Period	07 Jul 2012 → 11 Jul 2012

Keywords

Affine transform
Genetic algorithms
Image registration
Point-pattern matching
Simulated binary crossover

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10.1145/2330784.2330990

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title = "Affine image registration transformation estimation using a real coded genetic algorithm with SBX",

abstract = "We describe the application of a real coded genetic algorithm (GA) to align two or more 2-D images by means of image registration. The proposed search strategy is a transformation parameters-based approach involving the affine transform. The real coded GA uses Simulated Binary Crossover (SBX). In addition, we propose a new technique for matching points between a warped and static images by using a randomized ordering when visiting the points during the matching procedure. The results confirm the usefulness of the proposed noisy objective function and the suitability of SBX as a recombination operator for this type of problem. Copyright is held by the author/owner(s).",

keywords = "Affine transform, Genetic algorithms, Image registration, Point-pattern matching, Simulated binary crossover",

author = "Mosab Bazargani and {Dos Anjos}, Ant{\'o}nio and Lobo, {Fernando G.} and Ali Mollahosseini and Shahbazkia, {Hamid Reza}",

year = "2012",

doi = "10.1145/2330784.2330990",

language = "English",

isbn = "9781450311786",

pages = "1459--1460",

booktitle = "GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion",

note = "14th International Conference on Genetic and Evolutionary Computation, GECCO'12 ; Conference date: 07-07-2012 Through 11-07-2012",

}

Bazargani, M, Dos Anjos, A, Lobo, FG, Mollahosseini, A & Shahbazkia, HR 2012, Affine image registration transformation estimation using a real coded genetic algorithm with SBX. in GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion. pp. 1459-1460, 14th International Conference on Genetic and Evolutionary Computation, GECCO'12, Philadelphia, PA, United States of America, 07 Jul 2012. https://doi.org/10.1145/2330784.2330990

Affine image registration transformation estimation using a real coded genetic algorithm with SBX. / Bazargani, Mosab; Dos Anjos, António; Lobo, Fernando G. et al.
GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion. 2012. p. 1459-1460.

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

TY - GEN

T1 - Affine image registration transformation estimation using a real coded genetic algorithm with SBX

AU - Bazargani, Mosab

AU - Dos Anjos, António

AU - Lobo, Fernando G.

AU - Mollahosseini, Ali

AU - Shahbazkia, Hamid Reza

PY - 2012

Y1 - 2012

N2 - We describe the application of a real coded genetic algorithm (GA) to align two or more 2-D images by means of image registration. The proposed search strategy is a transformation parameters-based approach involving the affine transform. The real coded GA uses Simulated Binary Crossover (SBX). In addition, we propose a new technique for matching points between a warped and static images by using a randomized ordering when visiting the points during the matching procedure. The results confirm the usefulness of the proposed noisy objective function and the suitability of SBX as a recombination operator for this type of problem. Copyright is held by the author/owner(s).

AB - We describe the application of a real coded genetic algorithm (GA) to align two or more 2-D images by means of image registration. The proposed search strategy is a transformation parameters-based approach involving the affine transform. The real coded GA uses Simulated Binary Crossover (SBX). In addition, we propose a new technique for matching points between a warped and static images by using a randomized ordering when visiting the points during the matching procedure. The results confirm the usefulness of the proposed noisy objective function and the suitability of SBX as a recombination operator for this type of problem. Copyright is held by the author/owner(s).

KW - Affine transform

KW - Genetic algorithms

KW - Image registration

KW - Point-pattern matching

KW - Simulated binary crossover

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DO - 10.1145/2330784.2330990

M3 - Conference Proceeding (Non-Journal item)

AN - SCOPUS:84864976890

SN - 9781450311786

SP - 1459

EP - 1460

BT - GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion

T2 - 14th International Conference on Genetic and Evolutionary Computation, GECCO'12

Y2 - 7 July 2012 through 11 July 2012

ER -

Affine image registration transformation estimation using a real coded genetic algorithm with SBX

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Keywords

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