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dc.contributor.authorMuhammad Jaysuman, Pusppanathan
dc.contributor.authorMahdi Faramarzi
dc.contributor.authorFazlul Rahman, Mohd Yunus
dc.contributor.authorNor Muzakkir, Nor Ayob
dc.contributor.authorRuzairi, Abdul Rahim, Prof. Dr. 
dc.contributor.authorFatin Aliah, Phang Abdullah, Dr.
dc.contributor.authorMohd Hafiz, Fazalul Rahiman, Dr.
dc.contributor.authorAnita, Ahmad, Dr.
dc.contributor.authorLoew,  Pei Ling, Dr.
dc.contributor.authorKhairul Hamimah, Abas
dc.date.accessioned2015-05-21T08:04:26Z
dc.date.available2015-05-21T08:04:26Z
dc.date.issued2014
dc.identifier.issn0127-9696
dc.identifier.urihttp://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/3460
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/39910
dc.descriptionLink to publisher's homepage at http://www.penerbit.utm.my/en_US
dc.description.abstractProcess tomography has been widely investigated and developed over time. The aim of this method is to measure the cross-sectional distribution of multiphase flow parameters based on its sensing technique. These single modality approaches has its own limitation whereby combination of two or more modality could overcome this issue. Therefore, a dual modality tomography (DMT) emergence of electrical capacitance sensors and ultrasonic sensor arrays for multiphase liquid mixture measurement was proposed. This paper presents an image fusion model using fuzzy logic pixel fusion method to integrate information for multisensory system such as DMT. A simulation analysis was carried out to perform image fusion on both ECT and UT input images. The developed fusion model proven to be successful in visualizing multiphase flow measurement. Thus, further validation and assessments were employed on the acquired results.en_US
dc.language.isoenen_US
dc.publisherPenerbit UTM Pressen_US
dc.subjectECT tomographyen_US
dc.subjectElectrical capacitanceen_US
dc.subjectMultimodalityen_US
dc.subjectDual modalityen_US
dc.subjectSensoren_US
dc.subjectMultiphase flow measurementen_US
dc.titleImage fusion using fuzzy logic pixel fusion for dual modality tomography systemen_US
dc.typeArticleen_US
dc.contributor.urljaysuman@hotmail.comen_US
dc.contributor.urlnormuzakkir@gmail.comen_US
dc.contributor.urlruzairi@fke.utm.myen_US
dc.contributor.urlp-fatin@utm.myen_US
dc.contributor.urlhafiz@unimap.edu.myen_US
dc.contributor.urlanita@fke.utm.myen_US
dc.contributor.urlleowpl@fke.utm.myen_US
dc.contributor.urlkhairulhamimah@utm.myen_US


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