VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Automated analysis of a sequence of ovarian ultrasound images. Part II, Prediction-based object recognition from a sequence of images
    Potočnik, Božidar ; Zazula, Damjan
    Part I of this paper introduced a new algorithm for object detection on a single static image from ana image sequence. Part II extends this basic 2D recognition from an image sequence using ... prediction procedures. It is based on the Kalman filter (KF). The measurement system is realised with an algorithm for static 2D images. An object model is set based on measurements in the first image of sequence. This model is modified from image to image using the KF in regard to new measurements. The calculation for a particular image defines a new best estimate of the object searched for. This prediction algorithm (PA) was tested on sequences of ovarian ultrasound images with follicles. The obtained results are much more compact and accurate using the PA than eith the 2D algorithm only (up to 30% according to the initial values). The number of misidentified follicles is consideralbly lower (up to 75%).
    Vir: Image and vision computing. - ISSN 0262-8856 (Vol. 20, issue 3, 2002, str. 227-235)
    Vrsta gradiva - članek, sestavni del
    Leto - 2002
    Jezik - angleški
    COBISS.SI-ID - 7045142

vir: Image and vision computing. - ISSN 0262-8856 (Vol. 20, issue 3, 2002, str. 227-235)
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