1. MEDICAL IMAGE FUSION USING MULTI SCALE GUIDED FILTERING.
- Author
-
V., SRIKANTH M., B., NAGASIRISHA, A., SUNEEL KUMAR, and T., VENKATA LAKSHMI
- Subjects
IMAGE fusion ,COMPUTER vision ,REMOTE sensing ,DATABASES ,APPLICATION software - 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]
- Published
- 2024
- Full Text
- View/download PDF