Medical Image Fusion Using Transform Based Fusion Techniques
D. Srinivasa Rao1, Ch. Ramesh Babu2, Nagendra Kumar3, N. Rajasekhar4, T. Ravi5
1Dr D.Srinivasa Rao, Associate Professor Department of Information Technology VNRVJIET, Hyderabad. India.
2Dr. CH Ramesh Babu, Professor Department of Computer Science and Engineering in Geethanjali College of Engineering and Technology Hyderabad. India.
3Dr. Y.J Nagendra Kumar, Professor in the Department of IT. Qualifications: Ph.D (CSE),Acharya Nagarjuna University, Guntur, India.
4Dr. N. Rajasekhar, Professor Department of Computer Science & Engineering From Acharya Nagarjuna University, Guntur. India.
5Ravi Tene, Assistant Professor Department of Information Technology Hyderabad, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 11 March 2019 | Manuscript published on 30 July 2019 | PP: 309-317 | Volume-8 Issue-2, July 2019 | Retrieval Number: A9180058119/19©BEIESP | DOI: 10.35940/ijrte.A9180.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The principal resolution of the image fusion is to merging indication from different images; CT (Computed Tomography) scan and an MRI (Magnetic Resonance Imaging) and to obtain more informative image. In this paper various transform based fusion methods like; discrete wavelet transform (DWT) and two specialisms of discrete cosine transform (DCT); DCT variance and DCT variance with consistency verification (DCT variance with CV) and stationary wavelet transform (SWT) image fusion procedures are instigated and associated in terms of image evidence. Fused outcomes attained from these fusion techniques are evaluated through distinctive evaluation metrics. A fused result accomplished from DCT variance with CV followed by DCT variance out performs DWT and SWT based image fusion methodologies. The potentiality of DCT features creates value-added evidence in the output fused image trailed by fused results proficient from DWT and SWT based image fusion methods. The discrete cosine transforms (DCT) stranded methods of image fusion are auxiliary accurate and concert leaning in real time solicitations by energy forte of DCT originated ideologies of stationary images. In this effort, a glowing systematic practice for fusion of multi-focus images based on DCT and its flavors are obtainable and demonstrated that DCT grounded fused outcomes exceed other fusion methodologies.
Index Terms: Fusion, DCT, DWT, MRI, CT.
Scope of the Article: Biomedical Computing