基于红外自动聚焦过程的最优函数选取

李璐; 王高; 师钰璋; 郝争辉

基于红外自动聚焦过程的最优函数选取

李璐^1,,
王高^1, ,,
师钰璋¹,
郝争辉²

1.
中北大学，山西太原 030051
2.
山西戴德测控技术有限公司，山西太原 030006

基金项目:

山西省回国留学人员科研资助项目 2014054

国家自然基金 61573323

山西应用基础研究项目 201701D121061

详细信息

作者简介:
李璐（1993-），女，青海省西宁市人，硕士研究生，主要研究方向：红外测量与图像处理。E-mail: 2169199062@qq.com

通讯作者:
王高（1973-），男，山西侯马人，教授，主要研究方向为兵器测试。E-mail: llslbw3323@163.com

中图分类号: TP391.41
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- 被引次数: 0
出版历程
- 收稿日期: 2019-12-02
- 修回日期: 2020-09-08
- 刊出日期: 2020-11-20

Optimal Function Selection Based on Infrared Auto-Focusing Processes

LI Lu^1
,,
WANG Gao^{1
, ,},
SHI Yuzhang¹,
HAO Zhenghui²

1.
North University of China, Taiyuan 030051, China
2.
Shanxi Daide Measurement and Control Technology Inc., Taiyuan 030006, China

摘要

摘要: 与可见光自动聚焦系统相比，红外自动聚焦系统的核心问题在于因红外探测器特殊的成像原理，聚焦过程被分为由远及近聚焦和由近及远聚焦。针对这两个过程所使用的自动聚焦函数，在分析各自聚焦函数曲线特征的基础上，运用灵敏度、陡峭区宽度、陡峭度、平缓区波动量和时间5个针对性的评价指标，对常用的13个典型的清晰度评价函数进行定量分析，提出适合两个聚焦过程的最优函数。结论表明：在由近及远的聚焦过程中，F_Laplace可作为该过程的最优函数；而由远及近的聚焦过程中，F_Laplace和F_SML可作为最优函数的选取。
- 红外 /
- 自动聚焦 /
- 聚焦函数 /
- 评价指标
Abstract: Unlike the visible light auto-focusing system, the infrared auto-focusing system is divided into far-to-near focusing and near-to-far focusing owing to the special imaging principle of the infrared detector. The auto-focusing functions in the two processes are based on the analysis of the characteristics of the respective focusing function curves. To this end, five targeted evaluation indexes are used: sensitivity, the width of the steep part of the focusing curve, steepness, variance of the flat part of the focusing curve, and time. The 13 typical sharpness evaluation functions that are commonly used in quantitative analysis are conducted, and an optimal function suitable for the two focusing processes is proposed. The results show that F_Laplace can be used as the optimal function in the focusing process from near to far, and F_Laplace and FSML can be used as the optimal function in focusing from near to far.
- infrared /
- autofocus /
- focusing-function /
- evaluation index

HTML全文

图 1 不同离焦程度情况下的红外图像

Figure 1. Infrared images under different defocusing conditions

下载: 全尺寸图片幻灯片

图 2 13个聚焦函数的聚焦特征曲线

Figure 2. Focusing characteristic curves of 13 focusing functions

下载: 全尺寸图片幻灯片

图 3 部分聚焦函数的局部特征曲线

Figure 3. Local characteristic curves of partial focusing functions

下载: 全尺寸图片幻灯片

表 1 各聚焦函数曲线的评价指标值

Table 1. Values of evaluation index for curves of focusing functions

	F_L	F_R	S_L	S_R	V_L	V_R	W	T
F_SMD	0.292	0.653	0.015	0.020	0.0391	0.1296	15	5.1648
F_EOG	0.992	1.425	0.021	0.021	0.0374	0.0777	16	5.2770
F_Sobel	0.369	0.716	0.016	0.020	0.0336	0.1266	16	11.9560
F_Tenengrad	1.121	1.306	0.021	0.021	0.0429	0.0846	16	10.3519
F_Robert	0.290	0.472	0.015	0.020	0.0346	0.1279	16	4.6988
F_RbtEnergy	1.049	1.080	0.020	0.021	0.0388	0.0791	16	4.9650
F_Laplace	1.279	1.885	0.020	0.020	0.0134	0.0492	16	7.5527
F_SML	1.197	1.496	0.019	0.020	0.0160	0.0574	16	6.7289
F_Brenner	0.957	1.045	0.021	0.021	0.0426	0.0790	17	3.6615
F_Fourier	0.820	0.477	0.020	0.021	0.0868	0.1347	17	8.5183
F_DCT	1.196	0.765	0.018	0.018	0.0491	0.0866	15	8.5500
F_Variance	0.011	0.056	0.003	0.020	0.0437	0.2850	9	4.1126
F_Vollaths	0.356	0.442	0.012	0.017	0.1004	0.1030	18	4.0826

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参考文献(8)

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