Continuous piecewise affine transformation for image registration

2015 ◽  
Vol 13 (01) ◽  
pp. 1550006
Author(s):  
Yun-Shan Lee ◽  
Wen-Liang Hwang ◽  
Xiaolin Tian
Keyword(s):  
Image Registration ◽  
Affine Transformation ◽  
Design Methodology ◽  
Geometric Distortion ◽  
Geometric Transformation ◽  
Successful Completion ◽  
Piecewise Affine ◽  
Transitivity Property ◽  
Closed Form Analytical Solution ◽  
Associated Design

The image registration problem involves determining a geometric transformation to properly align images of interest. This paper proposes a transformation approach called Continuous Piecewise Affine Transformation (CPAT) to model the geometric distortion in images. The associated design methodology for the 2D registration problem is also discussed. Registration on CPAT has two advantages: (1) The optimal transformation has a closed form analytical solution; and (2) the transformation is invertible and transitive. Because of these advantages, CPAT could be used for real-time registration and progressive registration, where the registration speed and transitivity property are important for the successful completion of the tasks. The results of experiments demonstrate the efficacy of CPAT in resolving the image registration problem.

Breast image registration by using non-linear local affine transformation

2013 ◽  
Author(s):  
Feiyu Chen ◽  
Peng Zheng ◽  
Penglong Xu ◽  
Andrew D. A. Maidment ◽  
Predrag R. Bakic ◽  
...  
Keyword(s):  
Image Registration ◽  
Affine Transformation ◽  
Breast Image ◽  
Non Linear

scholarly journals A Robust False Matching Points Detection Method for Remote Sensing Image Registration

2015 ◽  
Vol XL-7/W3 ◽  
pp. 699-702
Author(s):  
X. J. Shan ◽  
P. Tang
Keyword(s):  
Remote Sensing ◽  
Image Registration ◽  
Detection Method ◽  
Graph Transformation ◽  
Remote Sensing Image ◽  
Transformation Model ◽  
Superior Performance ◽  
Geometric Distortion ◽  
Remote Sensing Images ◽  
Accuracy Result

Given the influences of illumination, imaging angle, and geometric distortion, among others, false matching points still occur in all image registration algorithms. Therefore, false matching points detection is an important step in remote sensing image registration. Random Sample Consensus (RANSAC) is typically used to detect false matching points. However, RANSAC method cannot detect all false matching points in some remote sensing images. Therefore, a robust false matching points detection method based on Knearest- neighbour (K-NN) graph (KGD) is proposed in this method to obtain robust and high accuracy result. The KGD method starts with the construction of the K-NN graph in one image. K-NN graph can be first generated for each matching points and its K nearest matching points. Local transformation model for each matching point is then obtained by using its K nearest matching points. The error of each matching point is computed by using its transformation model. Last, L matching points with largest error are identified false matching points and removed. This process is iterative until all errors are smaller than the given threshold. In addition, KGD method can be used in combination with other methods, such as RANSAC. Several remote sensing images with different resolutions and terrains are used in the experiment. We evaluate the performance of KGD method, RANSAC + KGD method, RANSAC, and Graph Transformation Matching (GTM). The experimental results demonstrate the superior performance of the KGD and RANSAC + KGD methods.

Cylindrical affine transformation model for image registration

2010 ◽  
Author(s):  
Christine Tanner ◽  
Timothy Carter ◽  
David Hawkes ◽  
Gàbor Székely
Keyword(s):  
Image Registration ◽  
Affine Transformation ◽  
Transformation Model

scholarly journals APPLICATION OF GEOMETRICAL TRANSFORMATIONS FOR THE ATACHMENT OF IMAGES TO GEOGRAPHICAL MAPS

2019 ◽  
Vol 31 (6) ◽  
pp. 1917-1922
Author(s):  
Teodora Petrova
Keyword(s):  
Coordinate System ◽  
Affine Transformation ◽  
Projective Transformation ◽  
Geometric Transformation ◽  
Reference Image ◽  
Earth Surface ◽  
Sar Images ◽  
Geographical Maps ◽  
The One

The development of surveillance instruments allows obtaining images of the one and same object or area of earth surface that have been taken at different times and with different sensors. The analysis of such images requires the use of geometric transformation to align them. In the paper the use of affine transformation for SAR images aligning and the use of projective transformation to register an image to the coordinate system of a map is studied. Aligning of images to maps allows using a map of the area as a reference image instead an orthoimage of this area.

Towards greater likelihood of project success

2019 ◽  
Vol 33 (2) ◽  
pp. 27-29
Keyword(s):  
Organizational Performance ◽  
Transactional Leadership ◽  
Leadership Style ◽  
Design Methodology ◽  
Team Member ◽  
Project Success ◽  
Successful Completion ◽  
Content Type ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Leadership style can have a significant effect on organizational performance and successful completion of projects. Transformational leadership is potentially the most ideal option because of its emphasis on relationships, collaboration, and team member autonomy. However, the contingent reward element of transactional leadership might also be incorporated into a strategy that is more likely to prove effective if project goals and the responsibilities of those involved are clearly defined. Originality/value The briefing saves busy executives and researcher’s hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The Interactive Monitoring and Control (IMAC) Design Methodology: Application and Empirical Results

1997 ◽  
Vol 41 (1) ◽  
pp. 289-293
Author(s):  
David A. Thurman
Keyword(s):  
Design Methodology ◽  
Engineering Systems ◽  
Proof Of Concept ◽  
Monitoring And Control ◽  
Control Activity ◽  
Operator Interface ◽  
Complex Engineering ◽  
And Control ◽  
Associated Design ◽  
Complex Engineering Systems

The Interactive Monitoring and Control (IMaC) methodology is a design methodology for operator interfaces to complex engineering systems. This four-step methodology helps designers tailor human-computer interaction to communicate monitoring and control activity requirements to the operator. This paper presents the methodology and associated design principles as well as the results of an empirical study assessing the effectiveness of a proof-of-concept operator interface. The study found that an interface designed by the IMaC methodology resulted in superior operator performance when compared to a conventional interface.

Sign in / Sign up

Export Citation Format

Share Document