Applying multifractal spectrum combined with fractal discrete Brownian motion model to wood defects recognition |
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| Authors: | Lei Yu Dawei Qi |
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| Institution: | (1) Northeast Forestry University, Harbin, China; |
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| Abstract: | Wood nondestructive testing technology is a new and multidisciplinary industry scientific research. It has attained fast development
and achievements in recent years. X-ray computed tomography (CT) scanning technology is a kind of wood nondestructive testing
technology in practice. 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 reach better wood sawing decision. Fractal geometry and its extension
multifractal are used for describing, modeling, analyzing, and processing of different complex shapes and images. A method
in CT image edge detection 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; they are smoothing
edge points and singular edge points. From the images processed by multifractal spectrum theory and compared with each image
by different spectrum values, it can be seen that the larger the range of threshold is set, the more exact the edge can be
detected. The paper provides a new method to recognize the defect information and to saw it in the condition of nondestructive
wood. |
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