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Segmentation of FLIR images by target enhancement and image model

机译:通过目标增强和图像模型分割FLIR图像

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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.!9
机译:摘要:提出了一种新的前视红外图像分割算法,该算法首先使用中值减法滤波来增强目标并抑制背景,然后使用MBS算法进行分割。该算法可以从复杂背景下的低对比度FLIR图像中获得目标的精确分割。给出了与MBS算法比较的实验结果。我们发现,在复杂背景下,该算法比MBS算法具有更好的分割性能。9

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