Multiobjective Discrete Particle Swarm Optimization for Multisensor Image Alignment

A new technique is proposed for multisensor image registration by matching the features using discrete particle swarm optimization (DPSO). The feature points are first extracted from the reference and sensed image using improved Harris corner detector available in the literature. From the extracted corner points, DPSO finds the three corresponding points in the sensed and reference images using multiobjective optimization of distance and angle conditions through objective switching technique. By this, the global best matched points are obtained which are used to evaluate the affine transformation for the sensed image. The performance of the image registration is evaluated and concluded that the proposed approach is efficient.

[1]  Y. Bentoutou,et al.  Feature Based Registration of Satellite Images , 2007, 2007 15th International Conference on Digital Signal Processing.

[2]  Olaf Hellwich,et al.  Genetic Algorithm SAmple Consensus (GASAC) - A Parallel Strategy for Robust Parameter Estimation , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[3]  Hongbin Zhang,et al.  An efficient algorithm for point pattern matching using ordered lists , 1992 .

[4]  Xiang Zhang,et al.  Satellite Cloud Image Registration by Combining Curvature Shape Representation with Particle Swarm Optimization , 2011, J. Softw..

[5]  A. S. Chernyavskiy,et al.  A robust scheme of model parameters estimation based on the particle swarm method in the image matching problem , 2008 .

[6]  Andrew Zisserman,et al.  MLESAC: A New Robust Estimator with Application to Estimating Image Geometry , 2000, Comput. Vis. Image Underst..

[7]  G. Troglio,et al.  Automatic registration of retina images based on genetic techniques , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  V. Mani,et al.  Multi-objective optimization of satellite image registration using Discrete Particle Swarm Optimisation , 2011, 2011 Annual IEEE India Conference.

[9]  Richard M. Lucas,et al.  An Area based Technique for Image-to-Image Registration of Multi-Modal Remote Sensing Data , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[10]  M. Khalid Khan,et al.  A Modified Particle Swarm Optimization Applied in Image Registration , 2010, 2010 20th International Conference on Pattern Recognition.

[11]  Farzin Mokhtarian,et al.  Curvature scale space for robust image corner detection , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[12]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[13]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[14]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[15]  H. K. Abhyankar,et al.  Image Registration Techniques: An overview , 2009 .