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Content Provider | IEEE Xplore Digital Library |
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Author | Chen Guojin Zhu Miaofen Qiu Xiaoguang |
Copyright Year | 2007 |
Description | Author affiliation: Hangzhou Dianzi Univ., Hangzhou (Chen Guojin; Zhu Miaofen; Qiu Xiaoguang) |
Abstract | The auto-focus method based on digital image processing results from the innovation of the traditional auto-focus method. Generally speaking, the traditional auto-focus method needs extra focus equipment and can be disturbed easily by environment factors. So the application of the traditional auto- focus method is limited hugely. The auto-focus method based on digital image processing is usually achieved by image definition evaluation functions. The paper studies the structure of two-dimension minimum isotropy wavelet filters and propounds the image definition evaluation based on a wavelet filter. In the paper, the evaluation function based on the wavelet filter is compared with the evaluation function based on the Laplacian operator by using the auto-focus system of a microscope. The experiment results indicate that the auto-focus algorithm based on the isotropy wavelet filter has good performance. |
Starting Page | 131 |
Ending Page | 134 |
File Size | 588799 |
Page Count | 4 |
File Format | |
ISBN | 9781424408191 |
DOI | 10.1109/VECIMS.2007.4373942 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-06-25 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image edge detection Digital images Finite impulse response filter IIR filters Frequency Space technology Digital filters Hardware Costs Interpolation edge extracting auto-focus image definition evaluation function two-dimension minimum isotropy wavelet filter microscope image pretreatment |
Content Type | Text |
Resource Type | Article |
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