A novel method for automatic image registration based on wavelet and near fuzzy set

2013 ◽  
Author(s):  
Somoballi Ghoshal ◽  
Pubali Chatterjee ◽  
Biswajit Biswas ◽  
Amlan Chakrabarti ◽  
Kashi Nath Dey
Keyword(s):  
Image Registration ◽  
Fuzzy Set ◽  
Novel Method

scholarly journals HOLBP: Remote Sensing Image Registration Based on Histogram of Oriented Local Binary Pattern Descriptor

2021 ◽  
Vol 13 (12) ◽  
pp. 2328
Author(s):  
Yameng Hong ◽  
Chengcai Leng ◽  
Xinyue Zhang ◽  
Zhao Pei ◽  
Irene Cheng ◽  
...  
Keyword(s):  
Image Registration ◽  
Local Binary Pattern ◽  
Computational Time ◽  
Rotation Invariant ◽  
Edge Information ◽  
Important Research Topic ◽  
New Construction ◽  
Novel Method ◽  
Direction Information ◽  
Angle Calculation

Image registration has always been an important research topic. This paper proposes a novel method of constructing descriptors called the histogram of oriented local binary pattern descriptor (HOLBP) for fast and robust matching. There are three new components in our algorithm. First, we redefined the gradient and angle calculation template to make it more sensitive to edge information. Second, we proposed a new construction method of the HOLBP descriptor and improved the traditional local binary pattern (LBP) computation template. Third, the principle of uniform rotation-invariant LBP was applied to add 10-dimensional gradient direction information to form a 138-dimension HOLBP descriptor vector. The experimental results showed that our method is very stable in terms of accuracy and computational time for different test images.

MO-C-17A-02: A Novel Method for Evaluating Hepatic Stiffness Based On 4D-MRI and Deformable Image Registration

2014 ◽  
Vol 41 (6Part24) ◽  
pp. 414-414
Author(s):  
T Cui ◽  
X Liang ◽  
B Czito ◽  
M Palta ◽  
M Bashir ◽  
...  
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
4D Mri ◽  
Novel Method

Affine Image Registration Based on Geometric Inference

2013 ◽  
Vol 427-429 ◽  
pp. 1610-1613
Author(s):  
Xing Wei Yan ◽  
Jie Min Hu ◽  
Jun Zhang ◽  
Jian Wei Wan
Keyword(s):  
Image Registration ◽  
Affine Transformation ◽  
Real Data ◽  
Matching Problem ◽  
Point Matching ◽  
Noncollinear Point ◽  
Geometric Inference ◽  
Affine Image ◽  
Novel Method ◽  
Geometric Relationship

Image registration is widely used in applications for mapping one image to another. As it is often formulated as a point matching problem, in this paper, a novel method, called the Geometric Inference (GI) algorithm, is proposed for feature point based image registration. Firstly, according to affine distance invariant, the global geometric relationship between collinear correspondences is deduced and used for collinear point matching. Secondly, utilizing affine area invariant, geometric relationship between noncollinear correspondences is inferred and used for noncollinear point matching. Finally, the best affine transformation can be discovered from the correspondences composed of the collinear and noncollinear corresponding point pairs. Experiments on synthesized and real data demonstrate that GI is well-adapt to image registration as it is fast and robust to missing points, outliers, and noise.

Success factors in managing the sponsor–sponsee relationship—a fuzzy-set qualitative comparative analysis for state-owned enterprises in Germany

2020 ◽  
Vol 21 (4) ◽  
pp. 577-596
Author(s):  
Bjoern Ivens ◽  
Florian Riedmueller ◽  
Peter van Dyck
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Success Factors ◽  
Qualitative Comparative Analysis ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
Study Approach ◽  
Novel Method

PurposeThe purpose of this paper is to provide meaningful information about sponsorship management in state-owned enterprises.Design/methodology/approachQualitative and quantitative data from Germany are analyzed in a case study approach using fuzzy-set qualitative comparative analysis (Fs/QCA)—an analytic method relevant for describing configurational patterns of causal factors.FindingsThe case study of sponsorships from state-owned enterprises in Germany reveals four alternative configurations of top-management support, sponsee prominence, standardized processes, and sponsorship leverage explaining sponsor satisfaction.Originality/valueThe paper combines two underrepresented but important aspects of sponsorship research, i.e. sponsorship management in state-owned enterprises, in an empirical study. Further, present study adds to sponsorship literature by pointing to fuzzy-set Fs/QCA as a relatively novel method that can capture the phenomenon of complex causality.

scholarly journals Regional Localization of Mouse Brain Slices Based on Unified Modal Transformation

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 929
Author(s):  
Songwei Wang ◽  
Yuhang Wang ◽  
Ke Niu ◽  
Qian Li ◽  
Xiaoping Rao ◽  
...  
Keyword(s):  
Image Registration ◽  
Brain Slice ◽  
Brain Slices ◽  
Science Research ◽  
Brain Regions ◽  
Regional Localization ◽  
Registration Method ◽  
Accurate Localization ◽  
Novel Method ◽  
The Brain

Brain science research often requires accurate localization and quantitative analysis of neuronal activity in different brain regions. The premise of related analysis is to determine the brain region of each site on the brain slice by referring to the Allen Reference Atlas (ARA), namely the regional localization of the brain slice. The image registration methodology can be used to solve the problem of regional localization. However, the conventional multi-modal image registration method is not satisfactory because of the complexity of modality between the brain slice and the ARA. Inspired by the idea that people can automatically ignore noise and establish correspondence based on key regions, we proposed a novel method known as the Joint Enhancement of Multimodal Information (JEMI) network, which is based on a symmetric encoder–decoder. In this way, the brain slice and the ARA are converted into a segmentation map with unified modality, which greatly reduces the difficulty of registration. Furthermore, combined with the diffeomorphic registration algorithm, the existing topological structure was preserved. The results indicate that, compared with the existing methods, the method proposed in this study can effectively overcome the influence of non-unified modal images and achieve accurate and rapid localization of the brain slice.

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