• K.Lavanya
• Maruturi Haribabu
• Dr. Ch.Hima Bindu

Multimodal medical image fusion has turned into an amazing asset in clinical applications. The primary point is to intertwine distinctive multimodal medical images, acquired from various imaging modalities, into a solitary melded image that is widely utilized by the doctors for unequivocal diagnosis and treatment of ailments. In this paper, an improved multimodal medical image fusion algorithm dependent on fuzzy transform (FTR) is proposed. The center thought behind the proposed algorithm is to improve the presentation of multimodal medical image fusion algorithm by thinking about the blunder images acquired utilizing FTR pair. Emotional just as target assessments show that the fusion quality as far as edge quality, standard deviation, include common data, fusion factor, highlight similitude and auxiliary closeness has altogether improved in the proposed algorithm when contrasted with other state-of-art multimodal medical image fusion algorithms.

A NOVEL APPROACH FOR MULTI-MODAL MEDICAL IMAGE FUSION USING FUZZY TRANSFORM

"A NOVEL APPROACH FOR MULTI-MODAL MEDICAL IMAGE FUSION USING FUZZY TRANSFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.144-149, May-2019, Available :http://www.jetir.org/papers/JETIR1905P23.pdf

"A NOVEL APPROACH FOR MULTI-MODAL MEDICAL IMAGE FUSION USING FUZZY TRANSFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp144-149, May-2019, Available at : http://www.jetir.org/papers/JETIR1905P23.pdf