Thesis Details

Detekce, extrakce a měření délky záprstních kostí ve snímcích

Bachelor's Thesis Student: Ulej Vojtěch Academic Year: 2021/2022 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
English title
Detection, Extraction and Measurement of the Length of the Metacarpal Bones in Images
Language
Czech
Abstract

The aim of this bachelor thesis is to study the literature dealing with the topic of object (specifically bones) recognition in images. Another task is to summarize the existing solutions for detection and measurement of object's length and to design a suitable algorithm for detection and measurement of metacarpal bones in images. First proposed algorithm is based on edge detecting methods. However, this approach has proved unreliable. The second algorithm design is based on machine learning using the convolutional neural network Mask RCNN.

Keywords

computer vision, image proccesing, object detection, Mask RCNN, OpenCV, metacarpal bone

Department
Degree Programme
Files
Status
defended, grade D
Date
14 June 2022
Reviewer
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
ULEJ, Vojtěch. Detekce, extrakce a měření délky záprstních kostí ve snímcích. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/25233/
BibTeX
@bachelorsthesis{FITBT25233,
    author = "Vojt\v{e}ch Ulej",
    type = "Bachelor's thesis",
    title = "Detekce, extrakce a m\v{e}\v{r}en\'{i} d\'{e}lky z\'{a}prstn\'{i}ch kost\'{i} ve sn\'{i}mc\'{i}ch",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/25233/"
}
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