Fusing Medical Images Using Pyramid Decomposition by DLCNN Method:

L. K. Hema Aarupadai Veedu Institute of Technology, India Rajat Kumar Dwibedi Aarupadai Veedu Institute of Technology, India V. Vanitha Aarupadai Veedu Institute of Technology, India https://orcid.org/0000-0002-0706-7131 Animesh Chandra Dey Aarupadai Veedu Institute of Technology, India G. R. Jothlakshmi Vels Institute of Science, Technology, and Advanced Studies, India Sanat Kumar Dwibedi Orissa University of Agriculture and Technology, India Fusing Medical Images Using Pyramid Decomposition by DLCNN Method

Clinical imaging is an essential component in a wide variety of restorative examinations and therapies nowadays, according to the most recent developments in logic. Unless otherwise specified, the process of intertwining clinical photos can be considered one of the most effective methods for combining many distinct modular pictures through the utilisation of picture handling technologies. This work presents a three-layered crossbreed combination statement that is created by combining the Laplacian mode pyramid and the Gaussian mode pyramid decay into the brought picture and performing at first followed by the age of weight-based convolution brain organisations (CNN) approach. The goal of this work is to overcome the disadvantage of compelling pictures by conveying viable quality pictures and the rousted merged pictures that have been flopped by pre-customary methodologies.
chapter 3 2024 4 26 34 45 10.4018/979-8-3693-5946-4.ch003 20240501110912 https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5946-4.ch003 https://www.igi-global.com/viewtitle.aspx?TitleId=346189 10.1016/j.optcom.2014.07.044 Medical Image Fusion Method using Deep Learning Convolutional Neural Networks B.Babu 2021 319 1 Journal of Cardiovascular Disease Research BabuB.PurohitA. (2021). Medical Image Fusion Method using Deep Learning Convolutional Neural Networks. Journal of Cardiovascular Disease Research, 12(1), 319–329. 12 10.3233/ICA-2005-12201 10.1016/j.imavis.2006.04.005 10.1109/RTC.2005.1547401 10.1006/gmip.1995.1022 10.1002/ima.22145 10.1002/ima.22138 10.1080/01431169608948717 10.1126/science.7256281 Petrovic, V. (2001). Multisensory pixel-level image fusion [PhD thesis, Manchester School of Engineering, United Kingdom]. Morphological filters and wavelet-based image fusion for concealed weapons detection L. C.Ramac 1998 Sensor Fusion: Architectures, Algorithms, and Applications II RamacL. C.UnerM. K.VarshneyP. K.AlfordM. G.FerrisD. D.Jr. (1998). Morphological filters and wavelet-based image fusion for concealed weapons detection. In DasarathyB. V. (Ed.), Sensor Fusion: Architectures, Algorithms, and Applications II. SPIE. 10.3923/itj.2007.1224.1230 10.1016/0166-2236(90)90117-S 10.1109/TIP.2011.2150235 10.1109/TGRS.2011.2158607