【摘要】 中厚板表面裂纹缺陷在图像中容易受背景噪声和氧化铁皮的影响,传统的图像处理方法很难将裂纹缺陷从图像中检测出来.提出了将形态小波变换应用于中厚板表面裂纹缺陷检测的方法.该方法利用小波分解对突变信号的检测能力,结合裂纹缺陷在形态上近似于直线的性质,将裂纹缺陷从图像中准确提取出来.实验证明形态小波用来检测中厚板表面裂纹缺陷比用其他方法更有效.更多还原

【Abstract】 It is difficult to extract crack defects from a defect image by traditional detection techniques, for the image of surface crack defects on a medium plate is influenced greatly by background noise and oxidized scale. Morphological wavelet, which combines the advantages of wavelet decomposition with mathematical morphology, was introduced to decompose the defect image and detect catastrophe signals. According to the similar linear character of crack defects in shape, the crack defects can be accurately extracted from the image. Experimental results show that the morphological wavelet transform presented here is more effective than other techniques for the detection of surface crack defects of a medium heavy plate.更多还原