基于红外图像的自动调焦技术
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摘要
基于图像处理的自动调焦技术是自动调焦的主要发展方向,其中图像清晰度评价函数是调焦能否成功的关键。红外图像因为其成像细节要小于可见光图像,简单的图像清晰度评价函数的无偏性和单峰性大打折扣,因此传统的自动调焦方式不能适用于红外图像。在传统的自动调焦方式上,提出了基于粗精结合的两段式快速搜索自动调焦方法。该方法将自动调焦分为两个步骤,首先通过粗调,迅速找到正焦大致位置,然后通过精调,最终找到正焦的精确位置。实验表明,该方法可以很好的对红外图像成像系统进行自动调焦,并且系统有着良好的稳定性和实时性。
Auto focusing technology based on image processing is the main direction of auto focusing, in which the image sharpness evaluation function is the key to the success of focusing. The imaging details of infrared images are less than those of visible images, the unbiased and single peak characteristics of the simple image sharpness evaluation function are discounted, so the traditional auto focusing method is not suitable to the infrared images. A two segment fast searching auto focusing method is proposed based on the combination of coarse and fine auto focusing methods. The method divides the auto focusing into two steps. First, the focal position is found quickly by coarse tuning. And second, the precise position of the focal point is finally found by fine tuning. Experiments show that this method can automatically focus the infrared imaging system, and the system has good stability and real-time characteristics.
Auto focusing technology based on image processing is the main direction of auto focusing, in which the image sharpness evaluation function is the key to the success of focusing. The imaging details of infrared images are less than those of visible images, the unbiased and single peak characteristics of the simple image sharpness evaluation function are discounted, so the traditional auto focusing method is not suitable to the infrared images. A two segment fast searching auto focusing method is proposed based on the combination of coarse and fine auto focusing methods. The method divides the auto focusing into two steps. First, the focal position is found quickly by coarse tuning. And second, the precise position of the focal point is finally found by fine tuning. Experiments show that this method can automatically focus the infrared imaging system, and the system has good stability and real-time characteristics.
引文
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[4]LI Bing,WANG Jian-lu,ZHANG Fei.Error analysis andcompensation of single-beam laser triangulation measure-ment[C]//IEEE International Conference,2009:1223-1227.
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[7]朱倩,姜威,贲晛烨,等.梯度与相关性结合的自动聚焦算法[J].光学技术,2016,42(4):329-332.
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[2]关文俊,和亮.现代相机的自动功能(自动聚焦式相机)[J].哈尔滨师范大学自然科学学报,1999,6:76-79.
[3]梁翠萍,李清安,乔彦峰,等.简析光学系统自动调焦的方法[J].2006,6:93.
[4]LI Bing,WANG Jian-lu,ZHANG Fei.Error analysis andcompensation of single-beam laser triangulation measure-ment[C]//IEEE International Conference,2009:1223-1227.
[5]严军,董志华.CCD超分辨率位置测量方法及性能分析[J].测试技术学报,2006,20(3):189-194.
[6]范富明,程良伦,王晓芬,等.一种新型光学快速自动聚焦系统[J].光电工程,2010,37(5):127-132.
[7]朱倩,姜威,贲晛烨,等.梯度与相关性结合的自动聚焦算法[J].光学技术,2016,42(4):329-332.
[8]高赞,姜威,朱孔凤.基于最大梯度和阈值的自动聚焦算法[J].电子测量与仪器学报,2007,21(5):49-54.
[9]Fleetwood D M,Scofield J H.Evidence that similar pointdefectscause 1/f noise and radiation-induced-hole trap-ping in MOS transistors[J].Phys Rev Lett,1990,64(5):579-582.
[10]Vander Zier.Unified presentation of 1/f noise in electronicdevices:fundamental 1/f noise sources[J].IEEE,1988,76(3):233-258.
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