MMIFFS: FUSION OF BRAIN IMAGES BASED ON FUZZY SETS-A LIGHTWIGHT APPROACH
- PG Student.
- Associate Professor.
- Assistant Professor.
- Professor, Department of CSE, QIS College of Engineering and Technology (A), Ongole, Andhra Pradesh, India.
- Assistant Professor, Department of ECE, QIS College of Engineering and Technology (A), Ongole, Andhra Pradesh, India.
Abstract
The integration of medical images holds substantial clinical relevance. CT scan displays hard tissues, whereas the MRI image illustrates the structure of brain tissue and lacks functional information. Therefore, an ideal merged image must encompass both comprehensiveness and absence of distortion. This work presents a hybrid strategy for the integration of MRI and CT pairs by integrating Fuzzy set theory, and Discrete Wavelet Transform(DWT).The suggested technique amalgamates the benefits of both DWT and fuzzy methodologies to improve the comprehensive data resultant picture. The analysis of qualitative and Visual demonstrate that the suggested technique proves the efficiency of fusion proves.The proposed approach is superior than the conventional fusion techniques, and the fused output is assessed using the mean, average gradient, and standard deviation.
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How to Cite This Article
P. Mahesh, Nidamanuri Srinu, Kolla Vivek, Bujji Babu D, Maruturi Haribabu and Siva Prasad G (2026); MMIFFS: FUSION OF BRAIN IMAGES BASED ON FUZZY SETS-A LIGHTWIGHT APPROACH, International Journal of Advanced Research (IJAR), 14 (01), 299-303, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/22237
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