ePrints.FRI - University of Ljubljana, Faculty of Computer and Information Science

Engineering of an object-counting program

Klara Nosan (2019) Engineering of an object-counting program. EngD thesis.

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    Counting objects in images is an important problem in many fields, such as the field of life sciences, where counting cells in microscopic images is a fundamental analysis tool. In this Bachelor's Thesis we present ImageJ, the state of the art program for microscopic image processing in life sciences. We provide an overview of the newest version of ImageJ with an emphasis on the architecture and the API of the software. We present Learn123, a program designed to automize cell counting in microscopic images using ImageJ. We describe the process of updating Learn123 by using the most recent version of ImageJ and parallelizing the genetic algorithm used to learn cell counting. We then compare the parallel algorithm to its previous sequential version. Finally, we present a new use case of Learn123 and discuss which types of images are not suitable for object counting using ImageJ.

    Item Type: Thesis (EngD thesis)
    Keywords: object counting, image processing, ImageJ, genetic algorithm
    Number of Pages: 53
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Luka Šajn307Mentor
    dr. Uroš Čibej300Comentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1538173379)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 4402
    Date Deposited: 14 Mar 2019 15:13
    Last Modified: 26 Mar 2019 11:27
    URI: http://eprints.fri.uni-lj.si/id/eprint/4402

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