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Updated: May 8, 2026
06:25
Long-Term Imaging of Identified Neural Populations using Microprisms in Freely Moving and Head-Fixed Animals
Published on: January 19, 2024
[Fundus images mosaicking based on edge extended phase correlation]
Dong Cui1, Minmin Liu, Guangyu Zhang
1Department of Radiology, Taishan Medical University, Tai'an 271016. cuidong_cd@126.com
Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|September 11, 2013
Summary
This study introduces an efficient image mosaic algorithm using extended phase correlation for edge detection in blood vessel images. The method simplifies calculations, enabling effective image stitching and fusion.
Area of Science:
- Medical imaging
- Computer vision
- Image processing
Context:
- Image mosaic algorithms often involve complex calculations.
- Accurate stitching of medical images, such as blood vessels, is crucial for diagnosis.
Purpose:
- To develop a computationally efficient image mosaic algorithm.
- To accurately stitch and fuse blood vessel images.
Summary:
- An improved wavelet edge detection algorithm identifies blood vessel edges.
- Extended phase correlation calculates image translation, rotation, and scale.
- The fade-in-fade-out method achieves image fusion.
Impact:
- The presented algorithm offers a simpler and effective solution for image mosaicking.
- This method can improve the efficiency of medical image analysis.
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