Applying multifractal spectrum combined with fractal discrete brownian motion model to wood defects recognition for sawing

Wood nondestructive testing technology is a new and comprehensive subject. In recent years it has achieved fast development. 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...

Full description

Saved in:
Bibliographic Details
Published in2009 IEEE International Conference on Automation and Logistics pp. 309 - 314
Main Authors Lei Yu, Dawei Qi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Computed tomography
Fractal Discrete Brownian Motion
Fractals
Geometry
Image edge detection
Image segmentation
Multifractal spectrum
Nondestructive testing
Sawing
Solid modeling
X-ray computed tomography
X-ray detection
X-ray detectors
X-ray imaging
Online AccessGet full text

Cover

More Information
Summary:Wood nondestructive testing technology is a new and comprehensive subject. In recent years it has achieved fast development. 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 wood sawing decision. Fractal geometry and its multifractal extension are new tools which can be used for describing, modeling, analyzing and processing different complex shapes and images. A method in CT image edge detection by using multifractal theory combined with fractal Brownian motion is applied in the paper. First its multifractal spectrum is estimated. Then different types of pixels are classified by the spectrum, smoothing edge point and singular edge point.
ISBN:9781424447947
1424447941
ISSN:2161-8151
DOI:10.1109/ICAL.2009.5262908