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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Detection and recognition of Bangladeshi fishes using surf features and CNN classifier

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    14301080,14301084,14101046,14101064_CSE.pdf (1.264Mb)
    Date
    2018-07
    Publisher
    Brac University
    Author
    Shuhin, Syed Adiba
    Tajrin, Jannatul
    Akhter, Afrin
    Israth, Chowdhury
    Metadata
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    URI
    http://hdl.handle.net/10361/12445
    Abstract
    This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like Gaussian Elimination, noise margin for image pre-processing at first and binary masking, flood-filling of binary image later for detection. After that the species of the detected fish is recognized using Speeded up Robust System (SURF) algorithm and for further analysis it was also done by CNN classifier to check whether the accuracy rate is better than the previous one. This is to be mentioned that we have done the whole research on various species of Fishes available on Bangladesh which has not been done before. We implemented our custom Dataset consisting of 400 sample images in the proposed method to measure out it credibility. Our aim is to detect and recognize fish more accurately with less error percentage.
    Keywords
    Fish detection; Edge detection; Fish recognition; SURF; Convolutional neural network; Binary masking; Keras
     
    LC Subject Headings
    Neural networks (Computer science)
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 37-40).
    Department
    Department of Computer Science and Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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