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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
IJCRT's Publication Details
Unique Identification Number - IJCRT1803221
Paper ID - 184598
Page Number(s) - 869-874
Pubished in - Volume 6 | Issue 1 | March 2018
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Virudhambal.k, Johnpeter.D, "IMAGE FUSION OF TOMOGRAPHY BASED ON K-MEANS ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.869-874, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1803221.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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