Based on the Medical Wavelet Transform Method of Eye Treatment Application

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In this paper, a treatment used in medical image processing methods are used, in order to make the patients recover quickly, the key of technology is the use of image processing technology to track the eye center to ensure real-time measurement of wave front aberrations. A multi-scale Canny edge detector is combined with wavelet transform various methods of research, analysis, and the image signal information in the most irregular structure, or by the signal carried by transient phenomena. The dramatic changes in point is usually an important structure in the image Edge, the method aims to select the most suitable instrument for the aberration of the pupil image processing method, image smoothing and edge extraction with the dual effect.

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419-422

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June 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Dj.M. Maric, P.F. Meier and S.K. Estreicher: Mater. Sci. Forum Vol. 83-87 (1992), p.119.

Google Scholar

[1] Applegate RA, Thibos LN, Hilmantel G: Optics of aberrosoopy and super vision . JRefract Surg. Vol. 21-22 (2001), p.1093.

Google Scholar

[2] Thibos LN, Applegate RA, Schwiegerling JT: Standards for reporting the optical aberrations of eyes . J Refract Surg. Vol. 30-31 (2002), p.652.

DOI: 10.3928/1081-597x-20020901-30

Google Scholar

[3] Thibos LN: Wavefront data reporting and terminology . J Refract Surg. Vol. 44-45 (2001), p.578.

Google Scholar

[4] Pun. T: A new method for gray level picture thresholding using the entropy of the histogram . Signal Processing. Vol. 08-09 (1980) , p.223.

DOI: 10.1016/0165-1684(80)90020-1

Google Scholar

[5] J.N. Kapur P.K. Sahoo A.K.C. Wong: A new method for gray-level picture thresholding using the en Vol. 21-22tropy of the histogram . Computer Graphics Vision and Image Processing. Vol. 11-12 (1985), p.273.

DOI: 10.1016/0734-189x(85)90125-2

Google Scholar