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脉冲功率激光技术国家重点实验室,安徽 合肥,230037
收稿日期:2016-05-28,
修回日期:2016-06-17,
纸质出版日期:2016-11-14
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郭宇翔, 李晓霞, 马德跃等. 三角形方向阈值鉴别的自动测量[J]. 光学精密工程, 2016,24(10s): 237-244
GUO Yu-xiang, LI Xiao-xia, MA De-yue etc. Automatic measurement of triangle orientation discrimination threshold[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 237-244
郭宇翔, 李晓霞, 马德跃等. 三角形方向阈值鉴别的自动测量[J]. 光学精密工程, 2016,24(10s): 237-244 DOI: 10.3788/OPE.20162413.0237.
GUO Yu-xiang, LI Xiao-xia, MA De-yue etc. Automatic measurement of triangle orientation discrimination threshold[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 237-244 DOI: 10.3788/OPE.20162413.0237.
为了减小光电成像系统三角形方向鉴别阈值模型(TOD)测量中三角形靶标方向鉴别率的主观因素影响,有效提高测量效率,研究了机器自动鉴别代替人工识别的方法,并建立了一套基于相关匹配的三角形方向阈值自动判别模型。将人眼视觉系统模型MTF作为处理靶标图像传递衰减的基础,采用基于相关运算的模板匹配法,通过计算靶标图像与模板的相关度完成了三角形方向的自动鉴别。根据标准TOD模型测量法建立了一套三角形靶标模板,并实验对比了人工识别和机器自动鉴别的正确率,采用Weibull视觉心理测量函数拟合统计结果,建立了系统的TOD曲线。结果表明,与人工识别相比,机器鉴别对三角形靶标方向鉴别正确率的平均偏离值为0.9%,机器识别与人工判别的鉴别阈值曲线能够较好的吻合,可用于光电成像系统的TOD曲线测量。
In order to reduce the impact of subjective factors on the triangle target orientation discrimination rate in Triangle Orientation Discrimination Threshold (TOD) measurement for the opto-electronic imaging system
and to effectively improve the measurement efficiency
an automatic machine vision method for replacement of artificial discrimination was proposed
and a TOD automatic discrimination modal was established based on correlation matching. In this mode
the MTF in human visual system was taken as the base for the treatment of target image transmission attenuation. The automatic triangle orientation was discriminated by calculating the relevancy between target image and template with the correlation calculation-based template matching method. In addition
a triangle target template was established based on the standard TOD model measurement for comparison of the accuracy between the artificial discrimination and the automatic mechanical discrimination. Finally
a systematic TOD curve was plotted in accordance with the fitting results of the Weibull visual and psychological measurement function. It indicates that compared with artificial discrimination
the average accuracy deviation for mechanical triangle target orientation discrimination is 0.9%
which means the curves for discrimination threshold through artificial discrimination and mechanical discrimination are in good agreement and can be applied to the TOD curve measurement for opto-electronic imaging system.
何国经,张建奇,王晓蕊,等. 用于三角形方向鉴别测量的客观判别模型[J]. 光学学报, 2007,27(3):437-442. HE G J, ZHANG J Q, WANG X R, et al.. An objective discrimination model for triangle orientation discrimination threshold measurement[J]. Acta Optica Sinica, 2007,27(3):437-442. (in Chinese)
初秀琴,胡方明,王飞. 基于神经网络的三角阈值判别法(TOD)设计[J]. 红外技术, 2009,31(12):716-719. CHU X Q, HU F M, WANG F. The realization of triangle orientation discrimination threshold using artificial neural network[J]. Infrared Technology,2009,31(12):716-719. (in Chinese)
DÉSAULNIERS P, THIBAULT S. Performance evaluation of panoramic electro-optic imagers using the TOD method[J]. SPIE, 2011, 8014(3):760-771.
王晓蕊. 红外焦平面成像系统建模及TOD性能表征方法研究[D].西安:电子科技大学,2005. WANG X R. Research on Modeling of IR FPA Imaging System & TOD Performance Characterization Method[D]. Xi'an:Xidian University,2005. (in Chinese)
DRIGGERS R G, COX P, EDWARDS T. Introduction to Infrared and Electro-optical Systems[M]. Artech House, 1999.
BIJL P. Guidelines for accurate TOD measurement[J]. SPIE, 1999, 370(3701):14-25.
PEARSON K. Mathematical contributions to the theory of evolution. Ⅲ. Regression, heredity and panmixia[J]. Philos. Trans. Royal Soc. London, 1896, 187:253-318.
DE LANGE J D, VALETON J M, BIJL P. Automatic characterization of electro-optical sensors with imageprocessing,using the triangle orientation discrimination (TOD) method[J]. SPIE, 2000, 3701, 104-111.
孙正. 数字图像处理与识别[M]. 北京:机械工业出版社, 2014:182-192. SUN ZH. Process and Identification of Numeral Image[M].Beijing:Mechanical Industry Press,2014:182-192. (in Chinese)
张影. 空间相机的颤振成像调制传递函数及仿真实验[J]. 光学精密工程, 2011, 19(9):2146-2153. ZHANG Y. Imaging MTF of space camera under vibration and simulation[J].Opt. Precision Eng., 2011, 19(9):2146-2153. (in Chinese)
TERRY K. A guide to chi-squared testing[J]. Biometrics, 1996, 39(4):157-158.
姚军财, 刘贵忠. 结合人眼对比度敏感视觉特性的视频质量客观评价[J]. 光学精密工程, 2016, 24(3):659-667. Yao J C, LIU G ZH. Video quality objective assessment combined contrast sensitivity characteristics of human visual system[J]. Opt. Precision Eng., 2016, 24(3):659-667. (in Chinese)
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