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dc.contributor.advisorChakrabarty, Dr. Amitabha
dc.contributor.authorAnik, Fahim Shahriare
dc.contributor.authorAhmed, Asif
dc.contributor.authorMaheen, Avita
dc.contributor.authorAlam, Puily
dc.date.accessioned2018-05-08T03:33:33Z
dc.date.available2018-05-08T03:33:33Z
dc.date.copyright2018
dc.date.issued2018-04-17
dc.identifier.otherID 13221035
dc.identifier.otherID 14121002
dc.identifier.otherID 14121065
dc.identifier.otherID 14121054
dc.identifier.urihttp://hdl.handle.net/10361/9975
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.en_US
dc.descriptionCatalogued from PDF version of thesis.
dc.descriptionIncludes bibliographical references (page 58-60).
dc.description.abstractPotholes have become a major havoc and are the leading reason for the damage of road transportation vehicles. This is why this paper was made to verify and understand whether a feasible commercial product can be made using the current algorithms to detect potholes, which can aid the driver of the vehicle. The topic selected uses different algorithms to test whether it can identify all types of potholes based on the intensity of the image and the shape of the pothole in any given condition. Performance analysis of the different algorithms is used in Matlab2015Ra image processing toolbox to find out the effectiveness of the algorithms for potholes in different environments of Bangladesh and the pothole photos from internet. And the following techniques that were worked on were Image Thresholding, canny edge detector, K-Means clustering and Fuzzy C-Means clustering along with other operations.en_US
dc.description.statementofresponsibilityFahim Shahriare Anik
dc.description.statementofresponsibilityAsif Ahmed
dc.description.statementofresponsibilityAvita Maheen
dc.description.statementofresponsibilityPuily Alam
dc.format.extent60 pages
dc.language.isoenen_US
dc.publisherBRAC Univeristyen_US
dc.rightsBRAC University theses 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.subjectImage processingen_US
dc.subjectCanny edge detectionen_US
dc.subjectK means algorithmen_US
dc.titleIdentification and comparative analysis of potholes using image processing algorithmsen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, BRAC University
dc.description.degreeB. Electrical and Electronic Engineering


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