A Hybrid Particle Swarm Optimization with Affine Transformation Approach for Cloud Free Multi-Temporal Image Registration
Priya, Swarna (VIT University (Tamil Nadu, Índia))
Prabu, S. (VIT University (Tamil Nadu, Índia))
Dharun, V. S. (Noorul Islam Univeristy)

Data:	2015
Resum:	An image registration is the major part of the image categorization and cluster formation in multi temporal image processing. The images are affected by the different factors such as cloud shadow, water level, building shadows etc. In this paper, an enhanced registration process and the cloud removal technique is proposed for image enhancement. The Daemons, Combined Registration and Segmentation (CRS) approach, Markov Random Field (MRF) approach and Mutual Information (MI) based approaches results in more computational complexity, minimum edge preservation measure (QAB/F) and Mutual Information in image registration. In order to maximize the quality of edge preservation measure and MI with minimum computational time, this paper proposes Particle Swarm Optimization (PSO) based affine transformation technique. The proposed techniques measure and compare the computation time against the number of pixels of an image with the existing methods of CRS and MRF for the number of images. The comparative analysis of QAB/F and MI with the traditional methods of Clock Point -Least Square (CP-LS) and the Multi-Focus Image Fusion (MFIF) and Discrete Wavelet Transform (DWT) is presented to confirm the effective performance. The simulation results of the proposed transformation for registration process confirms the effective image registration in the multi-temporal image processing.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Affine transformation ; Combined Registration Segmentation (CRS) ; Edge detection ; Image registration ; Markov Random Field (MRF) ; Mutual Information (MI) ; Particle Swarm Optimization (PSO) and Synthetic Aperture Radar (SAR)
Publicat a:	ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 núm. 2 (2015) , p. 74-89 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v14-n2-priya-prabu-dharun
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/305516
DOI: 10.5565/rev/elcvia.775

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