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Wood Defects Image Processing Based on Fractal and Mathematical Morphology

Author: JinXueZuo
Tutor: QiDaWei
School: Northeast Forestry University
Course: Biophysics
Keywords: Timber Non-destructive testing Digital Image Processing Multi-scale fractal characteristics Mathematical Morphology
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 108
Quote: 1
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Abstract


Without damaging the wood surface and internal structure of the premise, to detect internal defects of wood science materials, a reasonable selection of great significance, is an important means to make full use of forest resources. Select X-ray imaging technology as a means of detection, the design of X-ray imaging system nondestructive testing. Ray attenuation intensity differences through the wood after being detected, study the law of the timber X-ray imaging and original timber X-ray images. The original image histogram equalization, filtering denoising pretreatment using computer digital image processing technology to reduce the image quality of signal transmission in the image acquisition process. Pretreated high image contrast, less noise, and to facilitate human eye recognition, and helps using fractal identification of wood defects in the digital image and mathematical morphology. The application of multi-scale fractal feature (DMF) of pretreated wood drain-section image analysis and processing. The image is divided into 15 × 15 pixels, the size of the sub-regions, to ensure that the defective portion and the non-defective portion is located in the different sub-regions, respectively. Select ε1 = 3 and ε2 = 5 as the scale value, and calculated for each sub-region of the (DMF) value, calculated results show that, there are defects in parts and no defective parts multi-scale sub-shaped features value exists significant difference, the defective parts of (DMF ) value is much larger than the defect-free parts of the value of (DMF). In this experiment, the defect value of the background region (DMF) in the range of between 0.020 to 0.070, the drain section region (DMF) values ??ranged from 0.300 to 0.600. In the image processing procedure, it is possible to extract the singularity of a larger multi-scale fractal characteristic values, their collection of the defect location. Multiscale morphological dilation algorithm contains an internal knots and empty timber image analysis and processing. Experimental select a set of scales, respectively, B1 = 1, B2 = 2, B3 = B4 = B5 = 5 the diamond-shaped structural elements, the image expansion operation. The weights of a1 = a2 = a3 = a4 = a5 = 0.2, weighted summation of the expansion results, and finally obtained an image after the noise reduction. Different scales structure elements, respectively, to eliminate the different scale noise points. The experimental results show, this method is able to eliminate the background noise, but also to keep the same defect details. The global threshold method binarizing the image after the noise reduction processing, and the defective portion is extracted, and ultimately determine the type, size and location of the defect. Samples with the leakage section a large number of knots and voids in wood image acquisition, and collected images of the experimental study, the results showed that the application of the fractal characteristics of multi-scale and multi-scale morphological method can effectively improve timber defect detection effect. In this study, the timber X-ray defect detection provides an effective new method provides a new way for the development of digital image processing technology.

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