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Efficient Image Registration Using 2-phase GA on Parallel Clusters

This study presents a 2-phase genetic algorithm approach for image registration on parallel clusters, maximizing correlation between reference and input images. Experimental results on Landsat and Girl images processed on a Beowulf cluster are detailed.

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Efficient Image Registration Using 2-phase GA on Parallel Clusters

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  1. 2-phase GA-based image registration on parallel clusters 邱惠琪(Huei Chi Chiu) 2010-1-14

  2. OUTLINE • Introduction • Parallel model and implementation • Experiment results • Q & A!!

  3. I. Introduction

  4. I. Introduction

  5. I. System flowchart

  6. II. Parallel model and implementation Feature: 1 2 32 ……..

  7. II. Parallel model and implementation • The objective function(fitness) is to maximize the correlation values between the reference image and the input image

  8. II. Parallel model and implementation

  9. III. Experiment results • Dataset : Landsat Thematic Mapper images and Girl images.

  10. III. Experiment results • We ran our code on a Beowulf parallel computer , the 50 node Pentium Pro 200MHz cluster with a fat tree network topology.

  11. III. Experiment results

  12. III. Experiment results

  13. III. Experiment results

  14. Thanks!!Q & A ?

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