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边缘特征增强算法和小波分析在精确聚焦中的应用
引用本文:黄剑琪,冯华君,徐之海,戴顺林,李奇,边美娟.边缘特征增强算法和小波分析在精确聚焦中的应用[J].光子学报,2000,29(10):932-936.
作者姓名:黄剑琪  冯华君  徐之海  戴顺林  李奇  边美娟
作者单位:浙江大学现代光学仪器国家重点实验室,杭州,310027
基金项目:教育部高校骨干教师资助计划,,
摘    要:在数字成象系统中,如何快速而且有效地实现精确聚焦一直是成象系统研究中的焦点.本文提出了利用增强图象边缘特征来提高精确聚焦能力,并将常见的边缘增强滤波器与以小波变换为基础构建的滤波器进行了比较,实验数据表明,虽然常见滤波器和基于小波变换滤波器都能提高聚焦能力,但后者能更有效地分辨出只有微小的离焦量的图象,有很好的应用前景.

关 键 词:边缘特征  精确聚焦  增强算法  小波变换
收稿时间:2000-03-16
修稿时间:2000-03-16

THE APPLICATION OF EDGE-ENHANCE ALGORITHM AND WAVELET ANALYSIS IN AUTO-FOCUS
Huang Jianqi,Feng Huajun,Xu Zhihai,Dai Shunlin,Li Qi,Bian Meijuan.THE APPLICATION OF EDGE-ENHANCE ALGORITHM AND WAVELET ANALYSIS IN AUTO-FOCUS[J].Acta Photonica Sinica,2000,29(10):932-936.
Authors:Huang Jianqi  Feng Huajun  Xu Zhihai  Dai Shunlin  Li Qi  Bian Meijuan
Institution:State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, 310027
Abstract:Itis always theemphasisof research abouthow to realize auto-focus quickly and effectively in imaging system.Thispaperputforward algorithms thatcan enhanceedge features in imagesforim- proving auto-focus capability and compares the usual edge-enhance filters with wavelet-based filters. Experimental data shows that although both the usual edge-enhance filters and wavelet-based filters improve the focus capability the lattercan detectslightly defocused images more effectively.Therefor they have a good future in application.
Keywords:Edge-features  Auto-focus  Enhance-algorithms  Wavelet-transform
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