Research Article
Multimodal Biomedical Image Fusion Techniques in Transform and Spatial Domain: An Inclusive Survey
@INPROCEEDINGS{10.1007/978-3-031-35078-8_10, author={Nitin S. Thakare and Mukesh Yadav}, title={Multimodal Biomedical Image Fusion Techniques in Transform and Spatial Domain: An Inclusive Survey}, proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I}, proceedings_a={ICISML}, year={2023}, month={7}, keywords={Multimodal Image fusion (IF) Decomposition}, doi={10.1007/978-3-031-35078-8_10} }- Nitin S. Thakare
Mukesh Yadav
Year: 2023
Multimodal Biomedical Image Fusion Techniques in Transform and Spatial Domain: An Inclusive Survey
ICISML
Springer
DOI: 10.1007/978-3-031-35078-8_10
Abstract
Image of similar object can be taken by using several modalities at same/different time and in various environmental conditions. The human perception can extract same generalized information from captured images through different modalities. It is a need in clinical analysis to scientist, radiologist or practitioner to get right and exact information about captured image of different human body organ. Multimodal medical image fusion (MMIF) technique improves the resolution with minimum redundancy. This paper demonstrated a detail inclusive survey of multimodal image (MI) fusion (MIF) techniques from spatial domain to transform domain with different algorithm in biomedical field. In biomedical field diverse image fusion (IF) applications have been described. Each MIF techniques are evaluated based on output fused image quality by considering evaluation metrics. At last total review conclusion will be stated which will leave new research plan in the era of MIF.
