Segmentation of FLIR images by target enhancement and image model

Nong Sang; Tianxu Zhang

doi:10.1117/12.323656

25 September 1998 Segmentation of FLIR images by target enhancement and image model

Nong Sang, Tianxu Zhang

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323656
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

Abstract

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.

Citation Download Citation

Nong Sang and Tianxu Zhang "Segmentation of FLIR images by target enhancement and image model", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323656

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