An image registration algorithm using a particle filters

Kasetkasem, Teerasit; Homsup, N.; Meetit, D.

doi:10.1109/ecticon.2009.5137241

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…24 In Ref. 23, the authors perform rigid registration and experiment on two dimensional images. A non-rigid registration method is presented in Ref.…”

Section: Existing Workmentioning

confidence: 99%

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A stochastic approach for non-rigid image registration

et al. 2013

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This note describes a non-rigid image registration approach that parametrizes the deformation field by an additive composition of a similarity transformation and a set of Gaussian radial basis functions. The bases' centers, variances, and weights are determined with a global optimization approach that is introduced in this work. This approach consists of simulated annealing with a particle filter based generator function to perform the optimization. Additionally, a local refinement is performed to capture the remaining misalignment. The deformation is constrained to be physically meaningful (i.e., invertible). Results on 2D and 3D data sets demonstrate the algorithm's robustness to large deformations.

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“…24 In Ref. 23, the authors perform rigid registration and experiment on two dimensional images. A non-rigid registration method is presented in Ref.…”

Section: Existing Workmentioning

confidence: 99%

“…In particular, at the k th iteration, this perturbation is made by optimizing the objective function over parameter in zone i = mod (k, N ), as written in Eq. (23), which corresponds to a single Gaussian basis function.…”

Section: Stochastic Optimization Of L Gmentioning

confidence: 99%

A stochastic approach for non-rigid image registration

et al. 2013

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“…Steerable Simoncelli filters was used by Li et al [71] and Plaza, Moigne and Netanyahu [54]. Kasetkasem [20], proposed the use of the particle filtering algorithm to search for the global optima. Mixel decomposition of remote sensing images using particle swarm intelligence searching method was proposed by Wang, Dong et al [26].…”

Section: Class 6 -Fourier Transformation and Wavelet Based Techniquesmentioning

confidence: 99%

Remote Sensing Image Registration Techniques: A Survey

Dawn

Saxena

Sharma

2010

Lecture Notes in Computer Science

104

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Abstract. Image Registration is the first step towards using remote sensed images for any purpose. Despite numerous techniques being developed for image registration, only a handful has proved to be useful for registration of remote sensing images due to their characteristic of being computationally heavy. Recent flux in technology has prompted a legion of approaches that may suit divergent remote sensing applications. This paper presents a comprehensive survey of such literatures including recently developed techniques.

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An image registration algorithm using a particle filters

Cited by 2 publications

References 8 publications

A stochastic approach for non-rigid image registration

A stochastic approach for non-rigid image registration

Remote Sensing Image Registration Techniques: A Survey

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