摘要
文章详细讨论了现有的几种图像清晰度评价算法,在综合比较各算法性能的基础上,提出一种基于图像像素操作的梯度评价算法,建立该评价方法的数学模型,并采用VS2015与OpenCV编程实现其算法流程。对该评价函数进行一组由模糊到清晰再到模糊样本的实验,并与其它评价函数进行比较分析,结果表明,所提出的评价算法具有单峰性强及更高的灵敏度,可有效实现图像检测过程中自动对焦的图像清晰度判断。
In this paper,several existing image definition evaluation algorithms are discussed in detail.Based on the comprehensive comparison of the performance of each algorithm,this paper proposed an evaluation algorithm which was based on gradient evaluation algorithm and image pixel operations,and established the mathematical model of the evaluation method,and using the tools of VS2015 and OpenCV to realized the process by programming.The experiment of the evaluation function is based on a set of sample images which are from blur to clarity to blur,and comparing with other evaluation function analysis,the results show that the evaluation of the proposed algorithm is unimodal and higher sensitivity,which can effectively realize the image definition of automatic focus in image detection.
作者
项魁
高健
XIANG Kui;GAO Jian(Key Laboratory of Precision Microelectronic Manufacturing Technology & Equipment of Ministry of Education,Guangdong University of Technology,Guangzhou 510006,China)
出处
《组合机床与自动化加工技术》
北大核心
2019年第1期52-55,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(51175093)
关键词
数字图像处理
清晰度评价函数
自动对焦
digital image processing
definition evaluation function
auto focus
作者简介
项魁(1992-),男,湖北黄冈人,广东工业大学硕士研究生,研究方向是数字化制造与在线检测技术,(E-mail)296669098@qq.com;通讯作者:高健(1964-),女,山东青岛人,广东工业大学教授,博士生导师,博士,研究方向为精密在线检测技术与微电子封装装备方向,(E-mail)jian_gao2004@163.com。
