ISSN2320-2882
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Paper Title

IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM

Authors

Virudhambal.k , Johnpeter.D

Keywords

K-means algorithm, Fusion method, Process Tomography, Modified D-S Evidence theory, Multi Layer Perception Neural Network.

Abstract

In order to get optimized output, accuracy of image and get target feature in multiphase pipelining system by using fusion method of Hybrid M-DS Evidence theory. Process tomography system due to small angle of projection. Computer tomography and electrical capacitance tomography process for capture the image from pipeline, In difference characteristics Modified DS Evidence theory for fusion of two images computer tomography and electrical capacitance tomography image. K-means algorithm for clustering similarity can be taken From two images .Basic probability assignment function is indicated by the distance between the gray value and cluster center

How To Cite

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IJCRT — journal style
"IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.6, Issue 1, page no.869-874, March 2018, Available :https://ijcrt.org/papers/IJCRT1803221.pdf
APA — 7th edition
Virudhambal.k, & Johnpeter.D. (2018). IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM. International Journal of Creative Research Thoughts, 6(1), 869-874. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803221
MLA — 9th edition
Virudhambal.k, and Johnpeter.D. "IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM." International Journal of Creative Research Thoughts, vol. 6, no. 1, 2018, pp. 869-874, https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803221.
Chicago — 17th, bibliography
Virudhambal.k, and Johnpeter.D. "IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM." International Journal of Creative Research Thoughts 6, no. 1 (2018): 869-874. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803221.
Harvard — author–date
Virudhambal.k and Johnpeter.D (2018) 'IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM', International Journal of Creative Research Thoughts, 6(1), pp. 869-874. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803221
IEEE — numbered reference
Virudhambal.k and Johnpeter.D, "IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM," IJCRT, vol. 6, no. 1, pp. 869-874, Mar. 2018.
Vancouver — biomedical
Virudhambal.k, Johnpeter.D. IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM. IJCRT. 2018 Mar;6(1):869-874.
AMA — 11th edition
Virudhambal.k, Johnpeter.D. IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM. IJCRT. 2018;6(1):869-874. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803221
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT1803221, author = {Virudhambal.k and Johnpeter.D}, title = {IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM}, journal = {International Journal of Creative Research Thoughts}, volume = {6}, number = {1}, pages = {869-874}, year = {2018}, month = {March}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803221} }
RIS — EndNote, RefWorks
TY - JOUR AU - Virudhambal.k AU - Johnpeter.D TI - IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 6 IS - 1 PY - 2018 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT1803221 SP - 869 EP - 874 ER -

Issue

Volume 6 Issue 1, March-2018
Pages : 869-874

Article Information

Pages
869-874
Published
March 2018
Registration ID
IJCRT_184598
Published Paper ID
IJCRT1803221
Research Area
Science & Technology
Author Type
Indian Author
Location
villupuram, Tamilnadu, 605103
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
1,261

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Registration ID IJCRT_184598

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2018 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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