基于图像熵的自动聚焦函数研究

朱铮涛; 黎绍发; 陈华平

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基于图像熵的自动聚焦函数研究

信息科学 | 更新时间：2020-08-12

- 基于图像熵的自动聚焦函数研究
- Research on auto-focused function based on the image entropy
- 光学精密工程 2004年12卷第5期页码：537-542
- 作者机构：
  
  1. 华南理工大学, 计算机科学与工程学院,广东广州,510640
  2. 广东工业大学, 信息工程学院,广东广州,510640
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TP274
- 收稿日期：2004-07-24，
  
  修回日期：2004-08-19，
  
  网络出版日期：2004-10-15，
  
  纸质出版日期：2004-10-15
- 稿件说明：
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朱铮涛, 黎绍发, 陈华平. 基于图像熵的自动聚焦函数研究[J]. 光学精密工程, 2004,(5): 537-542

ZHU Zheng-tao, LI Shao-fa, CHEN Hua-ping. Research on auto-focused function based on the image entropy[J]. Editorial Office of Optics and Precision Engineering, 2004,(5): 537-542
朱铮涛, 黎绍发, 陈华平. 基于图像熵的自动聚焦函数研究[J]. 光学精密工程, 2004,(5): 537-542 DOI：

ZHU Zheng-tao, LI Shao-fa, CHEN Hua-ping. Research on auto-focused function based on the image entropy[J]. Editorial Office of Optics and Precision Engineering, 2004,(5): 537-542 DOI：

摘要

从图像中熵的定义出来

研究了图像熵在成像系统自动聚焦判决函数中的应用

研究发现:图像熵作为聚焦判决函数出现了两类不同的判决准则

一类是图像清晰熵小

另一类是图像清晰熵大.对不同类型测试图像的分析和计算

证实了这种非一致性的存在并分析了造成这种现象的可能原因

而且由于图像熵的峰值较小

数值仅在小数点后变化

不易找出全局最大值.在均方差判决函数的基础上

提出了条件加权均方的方法

得到了具有准则一致性的自动聚焦判别函数.实验证明:条件加权均方差判决函数在不增加运算量的前提下

可以加大函数的峰值

从而提高判决的准确性.实用中在测试条件变化不大的情况下

通过人机交互

可选用图像熵作为自动聚焦判决函数

否则优先考虑条件加权均方函数.

Abstract

Based on the definition of entropy in image

the application of the image entropy in auto-focused function is studied. It is found that there are two different rules in focusing function while using the image entropy. When the image is in the state of focus

one with the entropy is the largest

and the other with the entropy is the least. Through calculating and analyzing different kinds of test images

the existence of rule variance is confirmed

and the reason is analyzed. As the peak value and its shift are small

it is difficulty to find the largest in the four corners. Based on mean-square judge-function

a method weighted in condition is given

and an auto-focus judge-function with coherence rule is obtained. The experiment proves that the mean-square judge-function weighted in condition can enhance the peak of function and does not increase amount of calculation

so it can improve the veracity of judgement. If the test-condition does not change a lot

image entropy can be acted as an auto-focus judge-function through human-computer interface

otherwise the conditional weighted mean-square function is recommended.

关键词

Keywords

references

余英林.数字图象处理与模式识别[M] .广东:华南理工大学出版社,1990:91-94.YU Y L. Digital image processing and pattern recognition [M] . Publishing House of South China Univ. of Tech.,1999:91-94.(in Chinese)

吴振锋.显微镜一种新的自动聚焦算法[J] .数据采集与处理,2000,15(3):351-354.WU ZH F.New autofocus algorithm of microscope[J] .Journal of Data Acquisition and Processing, 2000,15(3):351-354.(in Chinese)

阎富强.光纤近场测量中自动聚焦系统的研究[J] .光子学报,1997,26(2):169-172.YAN F Q.Study of autofocussing system in automatic measuring of optical fibre geometrical parameters[J] . Acta Photonica Sinica,1997,26(2):169-172.(in Chinese)

王任华.自动对焦算法研究[J] .光电工程,2000,27(4):11-13.WANG R H. An Algorithm study for automatic focusing[J] . Opto-Electronic Engineering,2000,27(4):11-13.(in Chinese)

徐洁.靶丸定位系统中的图像处理[J] .光学精密工程,2001,9(6):568-571.XU J. Image processing for the automatic positioning system of pellet target[J] .Optics and Precision Engineering,2001,9(6):568-571.(in Chinese)

李清军.一种新型视频调焦方法的研究[J] .光学精密工程,1998,6(3):105-109.LI Q J. Studying on a new method of video focusing[J] . Optics and Precision Engineering,1998,6(3):105-109.(in Chinese)

周曲.显微组织数字图像处理及自动测试[D] .广东工业大学,2003.ZHOU Q. Digital image processing and automatically analyzing the micrograph of the metal tissues [D] .GuangDong University of Technology, 2003.(in Chinese)

郭军,曾文涵,谢铁邦.弹头发射痕迹计算机图像比对系统研究[J] .兵工学报,2003,25(4):504-508.GUO J,ZENG W H,XIE T B. A bullet mark computer image comparison system[J] . Acta Armamentarii, 2003,25(4):504-508.(in Chinese)

李文思,陈海清,李俊,等.红外导引头成像光斑图像处理及自动聚焦[J] .量子电子学报,2003,20(3):364-370.LI W S,CHEN H Q,LI J, et al. Image manipulation and auto-focus of the infrared seeker[J] . Chinese Journal of Quantum Electronics,2003,20(3): 364-370.(in Chinese)

GROEN F C A, YOUNG I T,LIGTHART G A. Comparison of different focus functions for use in autofocus algorithms[J] .Cytometry, 1985,6:81-91.

YEO T T E,JAYASOORIAH O S H,SINNIAH R.Autofocusing for tissue microscopy[J] . Image and Vision Coumpting, 1993,11(10):629-639.

BODDEKE F,VAN V L,NETTEN H, et al. Autofocusing in microscopy based on the OTF and sampling[J] . Bioimaging,1994,2:193-203.

CHERN N K,NATHANIEL P A N,MARCELO H A J.Practical issues in piexl based autofocusing for machine vision[C] .Proceeding of the 2001 IEEE international Conference on robotics and automation, Seoul, Korea, 2001:21-26.

康宗明,张利,谢攀.一种基于能量和熵的自动聚焦算法[J] .电子学报,2003,31(4):552-555.KANG Z M,ZHANG L,XIE P. Implementation of an automation focusing algorithm based on spatial high frequency energy and entropy[J] . Acta Electronica Sinica,2003,31(4): 552-555.(in Chinese)

郭彦珍,邱宗明,李信.图像测量技术中一种调焦的判别方法[J] .西安理工大学学报,2001,17(1):40-42.GUO Y ZH,QIU Z M,LI X. A Method 0f tuning for measurement technology[J] . Journal of Xi'an University of Technology,2001,17(1):40-42.(in Chinese)

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