NDLI: A detection method on wood defects of CT image using multifractal spectrum based on fractal brownian motion

Content Provider	IEEE Xplore Digital Library
Author	Dawei Qi Lei Yu Xiaocheng Feng
Copyright Year	2008
Description	Author affiliation: Northeast Forestry Univ., Harbin (Dawei Qi; Lei Yu)
Abstract	Wood has long been an important building material. The wide variety in appearance, strength properties and the possibility of different dimensions are some of the reasons why wood is still very attractive for this purpose. Wood nondestructive testing technology is a new and comprehensive subject. In recent years it has achieved fast development. Computed tomography offers great potential for non-destructive testing of the internal structure of wood. X-ray computed tomography (CT) scanning technology has been applied to the detection of internal defects in the logs for the purpose of obtaining prior information, which can be used to arrive at better log sawing decision. A method in CT image edge detection by using multifractal theory based on fractal Brownian motion is applied in the paper. The Holder exponent of image pixels, derived from fractal dimension estimation algorithm based on the fractional Brownian motion model and calculated from all the sub areas in wood image one by one, is computed, then its multifractal spectrum is estimated and different image pixels are classified, smoothing edge point and singular edge point.
Starting Page	1539
Ending Page	1544
File Size	283960
Page Count	6
File Format	PDF
ISBN	9781424425020
DOI	10.1109/ICAL.2008.4636398
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Current transformers Computed tomography Image edge detection Image processing Multifractal spectrum Fractal Brownian motion Fractals Holder exponent Circuit faults X-ray imaging Fault currents
Content Type	Text
Resource Type	Article

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