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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    Title :

    Segmentation of FLIR images by target enhancement and image model


    Contributors:
    Sang, Nong (author) / Zhang, Tianxu (author)

    Conference:

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


    Published in:

    Publication date :

    1998-09-25





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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

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


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    FLIR target screening

    Aggarwal, R. | NTRS | 1982


    Extended target tracking in FLIR image sequences

    Samy, Roger A. / Duclos, Daniel | SPIE | 1993