Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8145849 | Infrared Physics & Technology | 2018 | 16 Pages |
Abstract
Infrared (IR) small target detection plays an important role in the field of image detection area owing to its intrinsic characteristics. This paper presents a multiscale local homogeneity measure (MLHM) for infrared small target detection, which can enhance the performance of IR small target detection system. Firstly, intra-patch homogeneity of the target itself and the inter-patch heterogeneity between target and the local background regions are integrated to enhance the significant of small target. Secondly, a multiscale measure based on local regions is proposed to obtain the most appropriate response. Finally, an adaptive threshold method is applied to small target segmentation. Experimental results on three different scenarios indicate that the MLHM has good performance under the interference of strong noise.
Keywords
Related Topics
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Authors
Jinyan Nie, Shaocheng Qu, Yantao Wei, Liming Zhang, Lizhen Deng,