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    • Thesis & Report, MSc (Computer Science and Engineering)
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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, MSc (Computer Science and Engineering)
    • View Item
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    Smoke detection using image processing

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    16373014_CSE.pdf (1.058Mb)
    Date
    2016-07
    Publisher
    BRAC Univeristy
    Author
    Sarker, Md. Kamrujjaman
    Metadata
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    URI
    http://hdl.handle.net/10361/9075
    Abstract
    In 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.
    Keywords
    Smoke detection; Image processing
     
    Description
    This thesis report is submitted in partial fulfilment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2016.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 26-27).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, MSc (Computer Science and Engineering)

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