摘要
为了实现针对纸制产品表面缺陷的精确检测,提出了一套基于图像分析技术的纸病识别策略,通过平滑去噪、边缘检测以及阈值分割等方法来凸显纸病区域。在实际应用方面,分别将该方法用于裂口、孔洞等纸病图像的处理。经实验研究发现,基于图像分析技术的纸病识别策略能够较为精确地划分出纸病区域,且数字处理压力较小,应用成本低廉,具有一定的应用价值。
In order to achieve accurate detection of surface defects in paper products,this study proposes a paper defect recognition strategy based on image analysis technology,which highlights the areas of paper defects area through methods such as smooth denoising,edge detection,and threshold segmentation.In practical applications,this method is used for the processing of paper defect images such as cracks and holes.Experimental research has shown that the paper defect recognition strategy based on image analysis technology can accurately identify the areas affected by defects in the paper.It also has low digital processing pressure and application costs,making it valuable for practical use.
作者
同剑飞
TING Jianfei(Xi'an International University,Xi'an 710077,China)
出处
《造纸科学与技术》
2023年第4期42-45,共4页
Paper Science & Technology
基金
教育部产学研合作协同育人项目(202102330015)。
关键词
图像识别
平滑去噪
边缘检测
阈值分割
image recognition
smooth denoising
edge detection
threshold segmentation
