A Hybrid Image Registration for Large Global and Non-Linear Local Deformed Images
This paper presents a process for improving image registration using a fusion of established image registration techniques, such as the Feature-Based Linear (FBL) and Demons methods, to overcome their limitations. The process leverages the FBL method to automatically extract control points between t...
Saved in:
| Main Authors: | Issa W. AlHmoud, Balakrishna Gokaraju, Marwan Bikdash |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10776976/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identifying All Matches of a Rigid Object in an Input Image Using Visible Triangles
by: Abdullah N. Arslan
Published: (2025-03-01) -
Inter-frame image coding scheme of color video based on Delaunay triangulation mesh
by: JIAO Wei-dong, et al.
Published: (2007-01-01) -
Benchmarking and performance evaluation of a novel deformable image registration software for radiotherapy CT images
by: Shorug S. Alshammari, et al.
Published: (2024-12-01) -
Medical image retrieval using ROI extraction and hybrid bag-of-features model
by: Sneha Kugunavar, et al.
Published: (2025-07-01) -
Triangular segmentation criterion for DT mesh based video coding
by: GUO Da-bo1, et al.
Published: (2009-01-01)