DocumentCode :
3519111
Title :
Research on Image Focusing Method and System with Wavelet Filtering
Author :
Guojin, Chen ; Miaofen, Zhu ; Yongning, Li ; Wanqiang, Wang
Author_Institution :
Hangzhou Dianzi Univ., Hangzhou, China
Volume :
2
fYear :
2010
fDate :
11-12 Nov. 2010
Firstpage :
236
Lastpage :
239
Abstract :
The definition evaluation function of a digital image is structured by combining the wavelet transform with the energy function. The paper studied the image feature extraction using the smallest two-dimensional isotropic wavelet filter, set up the image definition evaluation model based on the wavelet filter by obtaining the edge information directly from the original image through the band-pass wavelet filter G0 and combining the image energy analysis, and proposed the image auto-focusing method based on the smallest isotropic wavelet filter. Applying the experimental platform constructed with a microscope auto-focusing system, the evaluation model based on the wavelet filter is compared with the evaluation based on the Laplacian. The experimental results show that the auto-focusing method and system based on the minimum isotropic wavelet filter has a better integrated focusing performance.
Keywords :
band-pass filters; feature extraction; image processing; wavelet transforms; 2D isotropic wavelet filter; band-pass wavelet filter; definition evaluation function; edge information; energy function; image auto-focusing method; image definition evaluation model; image energy analysis; image feature extraction; microscope auto-focusing system; Auto-focusing; Image processing; Microscope; Wavelet filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location :
Haiko
Print_ISBN :
978-1-4244-8683-0
Type :
conf
DOI :
10.1109/ICOIP.2010.162
Filename :
5663410
Link To Document :
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