Research on auto-focused function based on the image entropy

ZHU Zheng-tao; LI Shao-fa; CHEN Hua-ping

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Research on auto-focused function based on the image entropy

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- Research on auto-focused function based on the image entropy
- Optics and Precision Engineering Vol. 12, Issue 5, Pages: 537-542(2004)
- 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：
  CLC： TP274
- Received：24 July 2004，
  
  Revised：19 August 2004，
  
  Published Online：15 October 2004，
  
  Published：15 October 2004
- 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

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