针对具有复杂背景干扰和立体结构的陶瓷瓦表面裂纹缺陷,提出基于滑动滤波和自动区域生长的方法对陶瓷瓦表面裂纹进行提取。首先对采集图像进行预处理,并将图像分割为瓦头和纹理两个区域;然后用自定义滑动滤波法对瓦头区域的裂纹缺陷进行检测,用自动区域生长方法检测纹理区域的裂纹;最后用形态学运算去除杂散干扰点,提取裂纹的特征参数。实验结果表明,本文方法可有效去除复杂背景干扰,能提取出立体结构的陶瓷瓦表面裂纹。

This study proposes a method which combines sliding filter with automatic region growth to extract surface crack defects on ceramic tiles with complex background interference and stereochemical structure. First, the acquired image is preprocessed and divided into two regions, namely tile head and texture area. Crack defects in the tile head region are detected by the customized sliding filter method, whereas those in the texture area are detected by the automatic region growth method. Finally, a morphological operation removes the spurious interference points and extracts the characteristic parameters of the cracks. Experimental results demonstrate that the proposed method effectively removes the complex background interference and extracts the surface cracks of ceramic tiles with stereochemical structure.