Improved Image Registration Technique Using Demons and B-Spline

2013 ◽  
Author(s):  
Chao Tang ◽  
Xiaohui Xie ◽  
Ruxu Du
Keyword(s):  
Image Registration ◽  
Large Deformation ◽  
Small Deformation ◽  
New Method ◽  
Free Form ◽  
Spline Method ◽  
Deformation Method ◽  
B Spline ◽  
Demons Algorithm ◽  
Better Than

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.

A New Method for Calculating Burst Speed of Aeroengine Disks

1992 ◽  
Vol 114 (2) ◽  
pp. 334-337
Author(s):  
Hong Qilin ◽  
Zheng Qixuan ◽  
Wang Ping ◽  
Hou Guicang
Keyword(s):  
Large Deformation ◽  
Deformation Theory ◽  
New Method ◽  
Test Results ◽  
Deformation Method ◽  
Calculation Results ◽  
Basic Equations ◽  
Calculation Procedures

An approximate analytical large deformation method, based on the Nadai deformation theory, for calculating the burst speed of aeroengine disks, is presented in this paper. The basic equations are developed and the calculation procedures are illustrated. The burst speeds are calculated for some tested disks, and the calculation results are compared with the test results; the differences between two results are shown to be less than 8 percent. This shows that the new method is both simple and convenient. Therefore, it could be employed in the development of aeroengine disks.

scholarly journals A New Method for Calculating Burst Speed of Aeroengine Disks

1991 ◽  
Author(s):  
Hong Qilin ◽  
Zheng Qixuan ◽  
Wang Ping ◽  
Hou Guicang
Keyword(s):  
Large Deformation ◽  
Deformation Theory ◽  
New Method ◽  
Test Results ◽  
Deformation Method ◽  
Calculation Results ◽  
Basic Equations ◽  
Calculation Procedures

An approximate analytical large deformation method, based on Nadai deformation theory, for calculating the burst speed of aeroengine disks is presented in this paper. The basic equations are developed and the calculation procedures are illustrated. The burst speeds are calculated for some tested disks, and the calculation results are compared with the test results, the differences between two results are shown to be less than 8%. It shows that the new method is both simple and convenient. Therefore, it could be employed in the development of aeroengine disks.

A Non-Rigid Image Registration Algorithm Based on NURBS

2012 ◽  
Vol 170-173 ◽  
pp. 3521-3524
Author(s):  
Jing Jing Wang ◽  
Hong Jun Wang
Keyword(s):  
Image Registration ◽  
Medical Image ◽  
Research Work ◽  
Medical Image Processing ◽  
Free Form ◽  
Uniform Grid ◽  
B Spline ◽  
Registration Algorithm ◽  
Image Registration Algorithm ◽  
Challenging Research

Non-rigid image registration is an interesting and challenging research work in medical image processing, computer vision and remote sensing fields. In this paper we present a free form deformable algorithm based on NURBS because NURBS (Non-uniform Rational B Spline ) with a non-uniform grid has a higher registration precision and a higher registration speed in comparison with B spline. In our experiment we compare the NURBS based FFD method with the B spline based FFD method quantitatively. The experiment result shows that the algorithm can improve highly the registration precision.

NoC-Based Implementation of Free Form Deformations in Medical Imaging Registration

2016 ◽  
Vol 26 (04) ◽  
pp. 1750058
Author(s):  
Uzma Mushtaq ◽  
Osman Hasan ◽  
Falah Awwad
Keyword(s):  
Medical Imaging ◽  
Image Registration ◽  
Performance Enhancement ◽  
Computation Time ◽  
Free Form ◽  
Complex Nature ◽  
B Spline ◽  
Wide Range ◽  
Field Programmable ◽  
Combined Images

These days, computer-based image registration techniques are increasingly being used in the area of medical imaging as they offer significant benefits for aligning different images together and for visualizing their combined images. However, these techniques require an enormous amount of computation time due to the high resolution and complex nature of the medical images. We propose to alleviate this problem by using a dedicated Network-on-Chip (NoC)-based hardware platform for image registration. This paper describes a novel technique for field-programmable gate array (FPGA) implementation of the B-Spline-based free form deformation (FFD) algorithm, i.e., a widely used algorithm for modeling geometric shapes in a computerized environment. For performance enhancement, we have utilized a lightweight circuit-switched NoC architecture, which is adaptable to most FPGAs. The design description is captured in the Verilog language and implemented using the Xilinx XC2v6000 device at 37[Formula: see text]MHz. The proposed design is parameterizable at the compile time and supports a wide range of the image resolutions and computational precisions. The experimental results have shown a significant improvement in performance when compared with the other existing hardware implementations of the B-spline-based FFD algorithm.

Analysis of a new method for consistent large-deformation elastic image registration

2002 ◽  
Author(s):  
Jaincun He ◽  
Gary E. Christensen ◽  
Jay T. Rubenstein ◽  
Ge Wang
Keyword(s):  
Image Registration ◽  
Large Deformation ◽  
New Method ◽  
Elastic Image Registration

A Fast Algorithm to Compute B-Splines and its Application in Curve Fitting

2008 ◽  
Vol 392-394 ◽  
pp. 743-749 ◽  
Author(s):  
Hai Yang Sun ◽  
M. Chai ◽  
Da Peng Fan
Keyword(s):  
Parallel Computing ◽  
Curve Fitting ◽  
Fast Algorithm ◽  
Spline Function ◽  
New Method ◽  
Spline Method ◽  
Computing Architecture ◽  
B Spline ◽  
B Splines ◽  
Spline Curve

B-spline method plays an important role in data interpolating, fitting and smoothing. Through analyzing the computed path of the de Boor-Cox algorithm, a new method for calculating B-spline function is given based on the vector extending operation. The proposed method has a parallel computing architecture and is suitable to realize by computers. Compared with the de Boor-Cox algorithm, the proposed method can improve computing efficiency by (2k+1) times in the task of calculating all nonzero values of k-degree B-spine functions. As an application in B-spline curve fitting, it shows that the proposed algorithm can reduce the computing efforts obviously.

Multiscale Products in B-spline Wavelet Domain: A New Method for Short Exon Detection

2018 ◽  
Vol 13 (5) ◽  
pp. 553-563 ◽  
Author(s):  
Xiaolei Zhang ◽  
Guishan Zhang ◽  
Yangjiang Yu ◽  
Guocheng Pan ◽  
Haitao Deng ◽  
...  
Keyword(s):  
New Method ◽  
Wavelet Domain ◽  
Spline Wavelet ◽  
B Spline ◽  
Short Exon ◽  
Multiscale Products

Are actuarial crop insurance rates fair?: an analysis using a penalized bivariate B ‐spline method

2019 ◽  
Vol 68 (5) ◽  
pp. 1207-1232 ◽  
Author(s):  
Michael J. Price ◽  
Cindy L. Yu ◽  
David A. Hennessy ◽  
Xiaodong Du
Keyword(s):  
Crop Insurance ◽  
Spline Method ◽  
B Spline ◽  
Insurance Rates
Sign in / Sign up

Export Citation Format

Share Document