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作 者:刘纪洲[1] 宫宸 崔跃刚 王超[1] LIU Ji-zhou;GONG Chen;CUI Yue-gang;WANG Chao(North China Research Institute of Electro-Optics, Beijing 100015, China)
出 处:《红外》2022年第6期20-26,共7页Infrared
摘 要:为了满足热像仪在不同场景下自动对焦的功能需求,对现有多种自动对焦实现方案的优劣势进行了评估分析,并选择了一种基于角点检测算法的对焦方案。通过检测图像中的角点数量来实时判断图像的清晰度。根据热像仪FPGA图像处理系统的性能对该算法进行了改进与优化,并提出了多阈值角点检测实时对焦方法。根据当前场景的对焦状态,热像仪可自主判断是否执行对焦操作,以适应不同检测场景的需求,最终实现其在不同场景下的实时自动对焦功能。In order to meet the functional requirements for autofocusing in different scenarios,the advantages and disadvantages of various existing autofocus implementation schemes are evaluated and analyzed.A focusing scheme based on corner detection algorithm is proposed.The sharpness of the image can be judged by detecting the number of corners in the image.According to the performance of the FPGA image processing system of the thermal imager,the algorithm is improved and optimized.A real-time focusing method for multi-threshold corner detection is proposed.According to the focusing state of the current scene,the thermal imager can independently determine whether to perform the focusing operation to meet the needs of different detection scenarios,and finally realize the real-time automatic focusing function of the thermal imager in different scenarios.
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