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MEDICAL IMAGE FUSION USING MULTI SCALE GUIDED FILTERING.
- Source :
- i-Manager's Journal of Pattern Recognition; Jun2024, Vol. 11 Issue 1, p13-23, 11p
- Publication Year :
- 2024
-
Abstract
- One of the key components of computer vision applications like satellite and remote sensing and medical diagnosis is multi-modal image fusion. There are various multi-modal image fusion techniques, and each has advantages and disadvantages of its own. This paper proposes a new method based on multi-scale guided filtering. Initially, each source image is divided into coarse and fine layers at various scales using a guided filter. In order to fuse coarse and fine layers, two different saliency maps are used: an energy saliency map to coarse layers and a modified spatial frequency energy saliency map to fine levels. According to the simulation results, the suggested technique performs better in terms of quantitative evaluations of quality than other state-of-the-art techniques. All the simulation results are carried on a standard brain atlas database. [ABSTRACT FROM AUTHOR]
- Subjects :
- IMAGE fusion
COMPUTER vision
REMOTE sensing
DATABASES
APPLICATION software
Subjects
Details
- Language :
- English
- ISSN :
- 23497912
- Volume :
- 11
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- i-Manager's Journal of Pattern Recognition
- Publication Type :
- Academic Journal
- Accession number :
- 179221734
- Full Text :
- https://doi.org/10.26634/jpr.11.1.20735