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Blockboard Defect Detection Based on Wavelet Transform and Mathematical Morphology

机译:基于小波变换和数学形态学的细木工板缺陷检测

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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.
机译:为了实现细木工板的自动检测,采用X射线无损检测系统获取细木工板的X射线图像。提出了一种基于多尺度小波分解和数学形态学的图像处理方法。该方法使用小波变换来抑制干扰信息。然后通过形态学运算的加权方法构造了基于多结构元素数学形态学的边缘检测方法。结果表明,该方法在噪声抑制和边缘检测方面表现良好。这种方法对于检测细木工板的缺陷非常有效。

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