In this paper, we propose a novel segmenting system for ultrasound images. This solution is separated into three steps. First, we filter noise by using the "peak-and-valley" with scanning pixels along the Hilbert curve. Then we use the "Cubic Spline Interpolation" between local peaks and valleys to smooth the image. Second, we present windows adaptive threshold, to eliminate trial and error, as the method for obtaining the right threshold for beginning segmentation. Third, we label distinct, disconnected objects and use our "core area" to detect the object of interest based on the feature knowledge bases. Our method was experimented with liver ultrasound images. We compared the orientation and centroid feature vectors of our Full Automatic Segmenting Ultrasound (FASU) method with the manual segmentation method. The results are fully automatic and confirm the accuracy of our FASU method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    FASU: a Full Automatic Segmenting System for Ultrasound images


    Beteiligte:
    Hiransakolwong, N. (Autor:in) / Windyga, P.S. (Autor:in) / Hua, K.A. (Autor:in) / Vu, K. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    576803 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    FASU: A Full Automatic Segmenting System for Ultrasound Images

    Hiransakolwong, N. / Windyga, P. S. / Hua, K. A. et al. | British Library Conference Proceedings | 2002



    An algorithm for segmenting cytological images

    Konevsky, O. L. / Stepanets, Y. V. | British Library Online Contents | 2008


    Active Region Models for Segmenting Medical Images

    Ivins, J. / Porrill, J. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Segmenting Non Stationary Images with Triplet Markov Fields

    Benboudjema, D. / Pieczynski, W. | British Library Conference Proceedings | 2005