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Published in:
2011 | OriginalPaper | Chapter
Blockboard Defect Detection Based on Wavelet Transform and Mathematical Morphology
Authors : Nianxue Yang, Dawei Qi
Published in: Advances in Computer Science, Intelligent System and Environment
Publisher: Springer Berlin Heidelberg
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In order to implement automatic detection of blockboard, X-ray nondestructive detecting system is used to obtain blockboard X-ray images. An image processing method based on multi-scale wavelets decomposition and mathematical morphology is proposed in this paper. The method uses wavelet transform to suppress the interference information. Then edge detection method based on mathematical morphology of multi-structure elements is constructed by weighting method of morphological operation. The results show that the method performs well in noise-suppression and edge detection. This method is very effective to detect the defects of blockboard.