An infrared small target detection algorithm realized on FPGA

被引：0

作者：

Wang Y. ^{[1
,2
]}

Zhang Q. ^{[1
]}

机构：

[1] School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan

[2] National Key Laboratory of Multispectral Information Processing Technology, Huazhong University of Science and Technology, Wuhan

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2020年 / 48卷 / 01期

关键词：

Field programmable gate array(FPGA); Infrared image; Real-time infrared detection system; Target detection;

D O I：

10.13245/j.hust.200104

中图分类号：

学科分类号：

摘要：

To solve the incompatibility between the algorithm flow and the parallelism of the FPGA(field programmable gate array),the algorithm based on the ring maximum median filter and using inter-frame trajectory correlation to detect small infrared targets was optimized in parallel.The improvement included simplifying threshold calculation,adaptive threshold segmentation based on last frame statistics,and loop unrolling for multi-frame detection.On the premise that the detection was less affected,the global computing dependence of the algorithm was eliminated by optimizing the structure of the algorithm,which was more suitable for the implementation on the FPGA.When the optimized algorithm was realized on the FPGA,the processing speed of 2800×2800 images can reach 10 frames/s under 80MHz working clock,which could meet the requirements of most real-time infrared detection systems. © 2020, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.

引用

页码：20 / 25

页数：5

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