PhD defence: Samee Maharjan

Samee Maharjan, candidate in the PhD programme Process, Energy and Automation Engineering at Faculty of Technology, Natural Sciences and Maritime Sciences (TNM), will be defending her thesis for the degree of philosophiae doctor (PhD).

18 Dec

Practical information

  • Date: 18 December 2020
  • Time: 09.30 - 15.00
  • Location: Digitally on Zoom.
  • Download calendar file

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    Both the trial lecture and the defence will be held on Zoom due to the coronavirus situation (link will be activated when dissertation starts).

    Follow the dissertation on Zoom.

    Program

    Kl. 09.30: Trial lecture: 'Edge detection and tracking of objects in digital images- history and current techniques'

    Kl. 12.00:  PhD defense: Samee Maharjan defends her thesis 'An Image Processing Framework for High Speed Videos from Combustion and Gas Explosion Experiments'

    Evaluation committee:

    • 1st opponent: Professor Marcelo Bertalmio, Universitat Pompeu Fabra
    • 2nd opponent: Dr. Erlend Hodneland, Helse Bergen, Haukeland University Hospital
    • 3rd opponent and administrator of the committee: Associate professor Håkon Viumdal, USN


    Principal supervisor:

    • Professor Marius Lysaker, USN


    Co-supervisors:

    • Professor Dag Bjerketvedt, USN
    • Professor Knut Vågsæther, USN.
       

    Questions to the PhD candidate can be sent to the administrator of the assessment committee Håkon Viumdal:
    Hakon.Viumdal@usn.no 

    The PhD thesis is available online and can be downloaded from USN Open Archive.

    If you have any questions regarding the event, contact PhD coordinator: Ph.d.-koordinator Mariken Kjøhl-Røsand:
    Mariken.Kjohl-Rosand@usn.no 

Samee MaharjanSummary

This PhD work presents the study of various image processing techniques conducted to process the high speed (slow motion) videos recorded during different gas explosion experiments. The experiments were conducted at University of South-Eastern, Norway and California Institute of Technology, USA. The developed image processing techniques find/track the position of shock wave generated during gas explosion experiment in the high speed videos.

The developed image processing techniques works step wise.
1. Image filtering to reduce unwanted noise in background,
2. Edge detection to find the wave front in the image.
3. Estimate wave properties like speed, pressure temperature etc.

The approach of studying gas dynamics using high speed imaging and image processing proved to be very informative. This approach in combination with gas dynamics equations enables to extract crucial information about the generated wave. The calculated wave properties demonstrate a detail variation that occurred within a time interval of 300 microseconds within a distance of 100 mm. This information is difficult to extract by using traditional approach of pressure readings and could be useful to make better process safety system.