Affine image registration transformation estimation using a real coded genetic algorithm with SBX
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Electronic versions
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.
Keywords
- affine transform, genetic algorithms, image registration, point-pattern matching, simulated binary crossover
| Original language | English |
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| Title of host publication | Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery |
| Pages | 1459–1460 |
| ISBN (print) | 9781450311786 |
| DOIs | |
| Publication status | Published - 7 Jul 2012 |
| Externally published | Yes |
Publication series
| Name | GECCO '12 |
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| Publisher | Association for Computing Machinery |