• Login
    • Library Home
    View Item 
    •   BracU IR
    • School of Engineering (SoE)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Design Report, BSc (Electrical and Electronic Engineering)
    • View Item
    •   BracU IR
    • School of Engineering (SoE)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Design Report, BSc (Electrical and Electronic Engineering)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Identification and comparative analysis of potholes using image processing algorithms

    Thumbnail
    View/Open
    13221035,14121002,14121065,14121054_EEE.pdf (1.590Mb)
    Date
    2018-04-17
    Publisher
    BRAC Univeristy
    Author
    Anik, Fahim Shahriare
    Ahmed, Asif
    Maheen, Avita
    Alam, Puily
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/9975
    Abstract
    Potholes 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.
    Keywords
    Image processing; Canny edge detection; K means algorithm
     
    Description
    This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.
     
    Catalogued from PDF version of thesis.
     
    Includes bibliographical references (page 58-60).
    Department
    Department of Electrical and Electronic Engineering, BRAC University
    Collections
    • Thesis & Design Report, BSc (Electrical and Electronic Engineering)

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback
     

     

    Policy Guidelines

    • BracU Policy
    • Publisher Policy

    Browse

    All of BracU Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback