CAJ | 학술논문

主要研究了一种适用于带钢表面图像的缺陷区域分割方法。首先，对传统的基于边缘检测和全局阈值的缺陷区域分割方法进行研究和比较，然后根据带钢表面缺陷图像的灰度特点，提出了一种基于灰度级形态学增强和自适应阈值的缺陷区域分割方法。采用本文方法对常见的带钢表面图像进行缺陷区域分割实验，结果表明本文方法的分割效果要优于传统的分割方法。因此，提出的基于灰度级形态学增强和自适应阈值的缺陷区域分割方法具有一定的实际应用价值。
주요연구료일충괄용우대강표면도상적결함구역분할방법。수선，대전통적기우변연검측화전국역치적결함구역분할방법진행연구화비교，연후근거대강표면결함도상적회도특점，제출료일충기우회도급형태학증강화자괄응역치적결함구역분할방법。채용본문방법대상견적대강표면도상진행결함구역분할실험，결과표명본문방법적분할효과요우우전통적분할방법。인차，제출적기우회도급형태학증강화자괄응역치적결함구역분할방법구유일정적실제응용개치。
The purpose of this paper is to develop a suitable method for the defect region segmentation of strip surface images. Firstly, the traditional segmentation methods based on edge detection and global thresholding are studied and compared. Then, according to the gray-scale characteristics of strip surface defect images, a new segmentation method is proposed based on gray-scale morphology and adaptive thresholding. Finally, experimental results show the effectiveness of the proposed segmentation method compared with the traditional ones. Therefore, the proposed segmentation method has some practical value.