Segmentation of FLIR images by target enhancement and image model

摘要

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.