E-monitoring of operation and maintenance task under difficult visual work environment

Projekt:

JVTC

Sammanfattning:
Monitoring objects of interest and obtaining their clear visual
appearances are critical requirements for outdoor maintenance
tasks and surveillance systems. The difficulties while processing
outdoor images are the presence of haze, fog or dust which fades
the colours and reduces the contrast of the observed objects.
Under bad weather conditions, the light is severely scattered by
the atmosphere and images of railway track, coal mine, aviation
etc. become degraded. This paper implements a technique for
restoring the visibility of weather degraded videos and to detect
and track the objects in foggy weather. It has been concluded in
the paper that with the application of visibility enhancement
algorithm the PSNR for low foggy images is more as compared to
high foggy images. Further, the error rate is less for low foggy
images. The real time application of the work is to detect objects
from the enhanced foggy video that can be used for outdoor
operation and maintenance tasks monitoring.

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Författare: Ravdeep Kour ; Ramin Karim
Utgivare: Luleå tekniska universitet
Utgivningsdatum: 2012
Diarienummer: TRV 2011/58769
ISBN: 978-91-7439-539-6
Antal sidor: 5
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs