zaključna naloga Univerzitetnega študijskega programa I. stopnje Strojništvo - Razvojno raziskovalni program
Sara Ravnik (Author), Janko Slavič (Mentor)

Abstract

V tem delu je obravnavana metoda za identifikacijo pomikov iz zaporedja slik na podlagi fazne informacije. Predstavljene so že poznane metode za iskanje pomikov in njihove glavne značilnosti. Opisana je valčna transformacija in zanjo izdelana koda v programskem jeziku Python, poenostavljena preko konvolucije in razširjena tako, da omogoča identifikacijo pomikov z amplitudami, nižjimi od enega slikovnega elementa. Ta koda je v povezavi s korelacijo uporabljena za izračun pomikov; najprej na enodimenzijskem signalu, potem na sintetičnem zaporedju slik zgolj v eni smeri in v obeh smereh na realnem posnetku, pridobljenem s hitro kamero. Prav tako je raziskan vpliv šuma na učinkovitost metode, opisane možne težave, ki se lahko pri uporabi metode pojavijo, in možnosti nadaljnega razvoja.

Keywords

diplomske naloge;valčna transformacija;kompleksna faza;pomiki;korelacija;obdelava slik;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FS - Faculty of Mechanical Engineering
Publisher: [S. Ravnik]
UDC: 534.1:517.443:004.932(043.2)
COBISS: 81947651 Link will open in a new window
Views: 358
Downloads: 165
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Other data

Secondary language: English
Secondary title: Image based displacement identification using phase information obtained by continuous wavelet transform
Secondary abstract: This work discusses a method for image based displacement identification based on spatial phase information. Some already known techniques and their properties are presented. Continuous wavelet transform is described, the code for its computation is written in the Python programming language, simplified with the use of convolution and further advanced for sub-pixel accuracy of the displacement identification. This function, together with the correlation method is then used for displacement calculation; firstly, for a one dimensional signal and afterwards on a series of images, both synthetic and filmed with a high-speed camera. The influence of noise was researched, possible difficulties and further progress were described.
Secondary keywords: thesis;continuous wavelet transform;complex phase;displacements;correlation;image processing;
Type (COBISS): Final paper
Study programme: 0
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za strojništvo
Pages: XII, 29 f.
ID: 13398434
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