B-Spline Wavelets Vision Detection Technology Based on Adaptive Filter

Article Preview

Abstract:

Edge is the most important information for computer vision. Wavelets edge detection can reduce noise disturbing, and also loses weak edging. This paper presents a new algorithm for edge detection. Based on sharping imaging edging by adaptive filter algorithm, the algorithm can detect edge by B-spline wavelets. This new algorithm has more higher precision than those normal algorithms.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

284-287

Citation:

Online since:

September 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] DUAN Chen-dong, HE Zheng-jia, JIANG Hong-kai, Fault feature extraction using nonlinear wavelet transform. Journal of Vibration Engineering, 2005, p: 102-106(in Chinese).

Google Scholar

[2] T. Poggio, H. Voorhees etc., A Regularized solution to edge detection[R]. Tech Rep MA, Rep AIM-833, MIT artificial intell lab, (1985).

Google Scholar

[3] D. Marr and E. Hildreth, Theory of edge detection, [J], Proc. R. Soc., London, B207, 1980, p: 187 -217.

Google Scholar

[4] M.R.B. Forshaw. Speeding Up the Marr-Hildreth Edge Operator. Computer Vision[J], Graphics and Image Processing, 1988(41): 172-185.

DOI: 10.1016/0734-189x(88)90018-7

Google Scholar

[5] J, Canny, A computational approach to edge detection[M]. Trans. Pattern Anal. Machine Intell., 1986., vol (8): 679~698.

DOI: 10.1109/tpami.1986.4767851

Google Scholar

[6] S. Mallat,S. Hwang W L. Singularity Detection and Processing with Wavelets[M]. IEEE Trans. Information Theory, 1992, 38(2): 617~643.

DOI: 10.1109/18.119727

Google Scholar

[7] Huang Hao, Da Feipeng, Novel phase unwrapping method for wavelet profilometry, Chinese Journal of Scientific Instrument, 2012, p: 98-102(in Chinese).

Google Scholar

[8] Gu Yong, Long Zaiyun, Zhao Yanqiu, Medical Image Fusion Based on Fast Int Lifting Wavelet Transforms, Journal of Data Acquisition & Processing, 2008, p: 252-259(in Chinese).

Google Scholar