Balanced Ring Top-Hat Transformation for Infrared Small-Target Detection With Guided Filter Kernel
作者： Hu Zhu , Jieke Zhang , Guoxia Xu , Lizhen Deng
DOI: 10.1109/TAES.2020.2982347
关键词: Infrared 、 Pattern recognition 、 Small target 、 Kernel (image processing) 、 Kernel adaptive filter 、 Computer science 、 Artificial intelligence 、 Object detection 、 Clutter
摘要: Detecting small targets in a complex background is always carried out by suppressing the background. The top-hat transformation is mainly utilized for background suppression in target detection. Many modified top-hat transformation methods are based on the different structures of the structural elements. However, there are two limitations. One is that the structural elements cannot sufficiently consider the contrast information between the target and surrounding area to enhance the target. Another is that structural elements should be …
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