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Smoke detection using image processing

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bracu.degree.levelPostgraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorUddin, Dr. Jia
dc.contributor.authorSarker, Md. Kamrujjaman
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2018-01-15T10:32:58Z
dc.date.available2018-01-15T10:32:58Z
dc.date.copyright2016
dc.date.issued2016-07
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 26-27).
dc.descriptionThis thesis report is submitted in partial fulfilment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2016.en_US
dc.description.abstractIn this report, we have proposed a smoke detection method from image. The Smoke Detection using Image Processing (SDIP) is based on four steps. First, Smoke image acquisition and pretreatment is performed. Second, Preprocessing of collected images. Which include converting RGB to HSV, Binarization, Thresholding, Third, Selecting smokes principals. Fourth, Smoke detection based on principals considering Saturation, Intensity and Area of the smoke. The Smoke Detection using Image Processing (SDIP) System is implemented by the MATLAB simulation. We use 46 images for calculating threshold value and 87 images for the identifying smoke. We use some statistical equations to calculate threshold value. We compare our result by trial and error process. We use some graphs to show the result. We also compare some recommended algorithm with our proposed algorithm.en_US
dc.description.degreeMaster of Science in Computer Science and Engineering
dc.description.statementofresponsibilityMd. Kamrujjaman Sarker
dc.format.extent27 pages
dc.identifier.otherID 16373014
dc.identifier.urihttp://hdl.handle.net/10361/9075
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectSmoke detectionen_US
dc.subjectImage processingen_US
dc.titleSmoke detection using image processingen_US
dc.typeThesisen_US

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Thesis (Master of Science/Engineering in Computer Science and Engineering)