Nondestructive Testing of Blockboard Using Combination of Wavelet Transform and Gray-Scale Mathematical Morphology

Abstract:

This paper presents a scheme for blockboard nondestructive detection. X-ray nondestructive testing system has been used to obtain blockboard x-ray images. In order to recognize defects of blockboard effectively through x-ray images, an image processing method based on wavelet transform and gray-scale mathematical morphology is proposed. Firstly, image noises are reduced by wavelet soft threshold de-noising, and then a new modified mathematical morphology edge detection operator is used to detect edges of the de-noised image. The experiment results show that the method performs well in noise-suppression and edge detection. The proposed nondestructive testing method of blockboard is practical and easy to implement.

• Periodical: Applied Mechanics and Materials (Volumes 55-57)
• Pages: 1206-1210
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.55-57.1206
• Online since: May 2011
• Authors: Nian Xue Yang, Da Wei Qi
• Keywords: Gray-Scale Mathematical Morphology, Nondestructive Testing (NDT), Wavelet De-Noising

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