• DocumentCode
    2826158
  • Title

    New motherwavelet for pattern detection in IR image

  • Author

    Mirzaei, M. Ali ; Prianto, Sugeng ; Chardonnet, Jean-Remy ; Pere, Christian ; Merienne, Frederic

  • Author_Institution
    Arts et Metiers ParisTech, Paris, France
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper presents a new mother wavelet adapted from a specific pattern. Wavelet multi-resolution analysis uses this wavelet to detect the position of the pattern in an Infra-Red (IR) signal under scale variation and the presence of noise. IR signal is extracted from IR image sequence recorded by an IR camera, Time of Flight (TOF) sensor configuration. The maximum correlation between the pattern and the signal of interest will be used as a criterion to define the mother wavelet. The proposed mother wavelet were tested and verified under the scale variation and the presence of noise. The experimental tests and performance analysis show promising results for both scale variation and noisy signal. 90% accuracy for the proposed wavelet under intensive noisy condition (50% of the signal amplitude) is guaranteed and high precision is expected under real condition.
  • Keywords
    image resolution; image sequences; infrared imaging; signal processing; wavelet transforms; IR image sequence; IR signal; TOF sensor; infrared signal; intensive noisy condition; mother wavelet; noisy signal; pattern detection; scale variation; signal amplitude; time of flight sensor; wavelet multiresolution analysis; Least squares approximations; Legged locomotion; Multiresolution analysis; Noise; Signal resolution; Wavelet transforms; IR image; adapted mother wavelet; multi-resolution analysis; pattern detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2013
  • Conference_Location
    Kuching
  • Print_ISBN
    978-1-4799-0288-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2013.6706327
  • Filename
    6706327