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dc.contributor.authorUnnikrishnan, Saritha
dc.contributor.authorDonovan, John
dc.contributor.authorMacpherson, Russell
dc.contributor.authorTormey, David
dc.identifier.citationS. Unnikrishnan, J. Donovan, R. Macpherson and D. Tormey, "Machine vision for the quality assessment of emulsions in pharmaceutical processing," 2018 4th International Conference on Universal Village (UV), Boston, MA, USA, 2018, pp. 1-6, doi: 10.1109/UV.2018.8642158.en_US
dc.description© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.description.abstractEmulsion quality evaluation using machine vision techniques depends on the efficiency of the image segmentation algorithms. Two different machine vision techniques are investigated to determine their competency in detecting droplets from in-process microscopic images of a cream emulsion. Histogram-based segmentation shows promising potential compared to edge and symmetry detection. A statistical study of the droplet characteristics was conducted. The results demonstrate that the histogram-based approach is more proficient in the progressive analysis of droplet evolution during emulsification. A real-time integration of the technique is proposed, as a soft sensor, to predict the optimum process time and to increase manufacturing efficiency in chemical industries.en_US
dc.relation.ispartofIEEE 4th International Conference on Universal Village 2018en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.sourceIEEE Xploreen_US
dc.subjectComputer visionen_US
dc.subjectPattern recognition systemsen_US
dc.subjectPharmaceutical processingen_US
dc.subjectDroplet characteristicsen_US
dc.titleMachine vision for the quality assessment of emulsions in pharmaceutical processing /en_US
dc.conference.locationBoston, MA, USAen_US
dc.contributor.sponsorInstitute of Technology Sligo’s President’s bursary award; European Union’s INTERREG VA Programmeen_US
dc.subject.departmentDept of Mechanical & Manufacturing Engineering, IT Sligoen_US

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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States