A new segmentation algorithm of forward-looking infrared (FLIR) images is presented, which first uses median subtraction filter to enhance targets and suppress backgrounds, then uses MBS algorithm to perform segmentation. This algorithm can obtain a precise and accurate segmentation of a target from low contrast FLIR images in complex background. Experimental results compared with MBS algorithm are given. We find that the proposed algorithm shows much better segmentation performance than MBS algorithm in complex background.


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    Titel :

    Segmentation of FLIR images by target enhancement and image model


    Beteiligte:
    Sang, Nong (Autor:in) / Zhang, Tianxu (Autor:in)

    Kongress:

    International Symposium on Multispectral Image Processing (ISMIP'98) ; 1998 ; Wuhan,China


    Erschienen in:

    Erscheinungsdatum :

    1998-09-25





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Segmentation of FLIR images by target enhancement and image model [3545-72]

    Sang, N. / Zhang, T. / SPIE | British Library Conference Proceedings | 1998


    Model-based segmentation of FLIR images

    Bhanu, B. / Holben, R.D. | Tema Archiv | 1990


    Model-based segmentation of FLIR images

    Bhanu, B. / Holben, R.D. | IEEE | 1990


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    Aggarwal, R. | NTRS | 1982


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    Geokezas, M. / Jennewine, R. | Tema Archiv | 1977