Gabor滤波器在带钢表面缺陷检测中的应用

Application of Gabor Filter to Strip Surface Defect Detection

利用Gabor滤波器具有频率选择和方向选择的特性,将其应用在带钢表面缺陷检测系统中,不但能够去除噪声,而且能够把缺陷的纹理特征完整地保留下来.引入评价函数使缺陷图像和无缺陷图像的能量响应差别最大化,以确定最佳滤波器参数.基于最优的阈值函数得到二值化图像,并应用形态学分析方法去除二值图像上小的噪声,得到分割后的缺陷图像.实验结果验证了该方法的有效性.

The Gabor filter was applied to the strip surface defect detection because of its selectivity of frequency and direction. In addition to its denoisability, the detection system can keep the images of textural characteristics of defects completely. With the evaluation function introduced in, the difference between energy responses from both defective and non-defective images was maximized to determine the optimum parameter setting of the filter. Based on the optimum threshold function, the binarized images were obtained and the low-level noises involved in those images were removed by morphological analysis method, thus providing the segmented defective images. Experimental results verified the effectiveness of the method proposed.