DocumentCode :
3269523
Title :
Autofocus algorithm based on Wavelet Packet Transform for infrared microscopy
Author :
Fan, Zhigang ; Chen, Shouqian ; Hu, Haili ; Chang, Hong ; Fu, Qiang
Author_Institution :
Res. Center for Space Opt. Eng., Harbin Inst. of Technol., Harbin, China
Volume :
5
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2510
Lastpage :
2514
Abstract :
A new autofocus algorithm based on Wavelet Packet Transform (WPT) was presented to find the best focus of infrared microscopy, which is applied to test the defocusing amounts of athermalized infrared optical system. According to the statistical analysis of the gradient of image, the focus function was obtained by weighting the decomposition coefficients of wavelet packet. Experimental results demonstrated the algorithm had high sensitivity and accuracy for the true focus position from a series of infrared images. Furthermore, the autofocus algorithm was compared with some well-know algorithm like the Sobel Gradient(SG), the Sum-Modified Laplacian(SML) and the Discrete Cosine Transform(DCT) method in order to prove its performance.
Keywords :
gradient methods; image processing; optical images; optical microscopy; statistical analysis; wavelet transforms; WPT; athermalized infrared optical system; autofocus algorithm; decomposition coefficient; image gradient; infrared microscopy; statistical analysis; wavelet packet transform; Algorithm design and analysis; Microscopy; Optical imaging; Optical microscopy; Wavelet packets; autofocus algorithm; image gradient; infrared image; wavelet packet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5647471
Filename :
5647471
Link To Document :
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