Acta Photonica Sinica, Volume. 49, Issue 1, 0110003(2020)
Infrared Small Target Detection Based on Double-layer Local Contrast Measure
Traditional infrared small target detection methods based on the human visual system can easily cause false alarm detection in complex backgrounds. Therefore, to address this issue, an accurate and robust infrared small target detection method called Double-layer Local Contrast Measure (DLCM) was proposed. First, a double-layer-diagonal gray difference contrast was proposed to enhance the visual saliency of the target and alleviate the impact on background clutter and noise. After that, an adaptive threshold segmentation was used to obtain the real target. The experimental results show that, compared with the mainstream detection methods based on human vision system, the background suppression factor of the proposed method is increased by an average of 9.3 times and the signal to clutter ratio gain is increased by an average of 7.8 times, which have better detection performance in different complex scenarios.
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Sheng-da PAN, Su ZHANG, Ming ZHAO, Bo-wen AN. Infrared Small Target Detection Based on Double-layer Local Contrast Measure[J]. Acta Photonica Sinica, 2020, 49(1): 0110003
Received: Jul. 22, 2019
Accepted: Sep. 5, 2019
Published Online: Mar. 19, 2020
The Author Email: ZHANG Su (1207904890@qq.com)