Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Improved Image Registration Technique Using Demons and B-Spline

View through CrossRef
Non-rigid image registration is an important and challenge work in image processing. The demons algorithm is one of the most effective non-rigid image registration methods. However, it is only suitable for images with small deformation. In recent years, many improving techniques are proposed. The free form deformation method based on B-spline function is widely employed in non-rigid image registration and is good at dealing with large deformation image registration. However, the performance of the demons algorithm is better than that of the B-spline method in dealing with small deformation registration. Therefore, in this paper, we propose to combine the demons algorithm and the B-spline method. The new method consists of two steps: First, it applies the B-spline method to deal with the large deformation. Then, it uses the demons algorithm to treat the small deformation. The testing results show that the new method is effective in dealing images with both small and large deformations. Comparing to the demons algorithm as well as the B-spline method, the new method has the smallest registration error and hence, is the best.
Title: Improved Image Registration Technique Using Demons and B-Spline
Description:
Non-rigid image registration is an important and challenge work in image processing.
The demons algorithm is one of the most effective non-rigid image registration methods.
However, it is only suitable for images with small deformation.
In recent years, many improving techniques are proposed.
The free form deformation method based on B-spline function is widely employed in non-rigid image registration and is good at dealing with large deformation image registration.
However, the performance of the demons algorithm is better than that of the B-spline method in dealing with small deformation registration.
Therefore, in this paper, we propose to combine the demons algorithm and the B-spline method.
The new method consists of two steps: First, it applies the B-spline method to deal with the large deformation.
Then, it uses the demons algorithm to treat the small deformation.
The testing results show that the new method is effective in dealing images with both small and large deformations.
Comparing to the demons algorithm as well as the B-spline method, the new method has the smallest registration error and hence, is the best.

Related Results

The role of malevolent demon troops with the livings in ancient Egypt
The role of malevolent demon troops with the livings in ancient Egypt
Le rôle des troupes de démons hostiles aux vivants dans l'Egypte ancienne Le but de la présente étude « Le Rôle des Troupes de Démons Hostiles aux Vivants dans l’Ég...
Improving Deformable Multi-Grid B-spline Registration using Heuristics and Deep Learning
Improving Deformable Multi-Grid B-spline Registration using Heuristics and Deep Learning
The purpose of deformable image registration is to recover acceptable spatial transformations that align two images acquired at different periods of time into the same coordinate s...
Extensive Experimental Study on the Stability of Rotor System With Spline Coupling
Extensive Experimental Study on the Stability of Rotor System With Spline Coupling
Spline couplings which have simple structure, high reliability and can compensate torque transmission error are widely used in rotating machineries, such as aeroengine and gasturbi...
Brain CT Registration Using Hybrid Supervised Convolutional Neural Network
Brain CT Registration Using Hybrid Supervised Convolutional Neural Network
Abstract Background: Brain computed tomography (CT) image registration is an essential step in the image evaluation of acute cerebrovascular disease (ACVD). Due to the comp...
High-performance image registration algorithms for multi-core processors
High-performance image registration algorithms for multi-core processors
Deformable registration consists of aligning two or more 3D images into a common coordinate frame. Fusing multiple images in this fashion quantifies changes in organ shape, size, a...
Penerapan Metode Cubic Spline Interpolation untuk Menentukan Peluang Kematian pada Tabel Mortalita
Penerapan Metode Cubic Spline Interpolation untuk Menentukan Peluang Kematian pada Tabel Mortalita
Abstract. The mortality table is statistical data from a population that states the probability that someone will die. With the modeling of the mortality table, the probability of ...
Verification of image registration for the commercial treatmetn planning systems
Verification of image registration for the commercial treatmetn planning systems
Image registration is essential in treatment planning and position verification for highly radiation conformal delivery methods. The purpose of this study is to evaluate the accura...
Faired MISO B-Spline Fuzzy Systems and Its Applications
Faired MISO B-Spline Fuzzy Systems and Its Applications
We construct two classes of faired MISO B-spline fuzzy systems using the fairing method in computer-aided geometric design (CAGD) for reducing adverse effects of the inexact data. ...

Back to Top