International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 116 - Number 21 |
Year of Publication: 2015 |
Authors: Jitendra Pramanik, Sunita Dalai, Debaraj Rana |
10.5120/20458-2815 |
Jitendra Pramanik, Sunita Dalai, Debaraj Rana . Image Registration using PSO and APSO: A Comparative Analysis. International Journal of Computer Applications. 116, 21 ( April 2015), 6-11. DOI=10.5120/20458-2815
Image registration, also known as matching or warping can be defined as the process of aligning two or more images. Image registration is a crucial step for image analysis in which valuable information is conveyed in more than one image, ie. images acquired at different times, from distinct viewpoints or by different sensors can be complementary . This research paper proposes a recently developed new variant of Particle Swarm Optimization (PSO) called Accelerated Particle Swarm Optimization (APSO) in image registration application. . APSO is simpler to implement and it has faster convergence when compared to the standard PSO (SPSO) algorithm. Here the extraction of interest point area from an image is optimized using Accelerated Particle swarm Optimization as well as PSO and a comparative analysis has been shown.