基于Prewitt算法的图像边缘检测技术在瓷砖生产中的应用  

Application of Image Edge Detection Technology Based on Prewitt Algorithm in Ceramic Tile Production

作　　者：翁振斌 WENG Zhenbin(Sanming Medical Technology Vocational College,Sanming,Fujian 365000,China)

机构地区：[1]三明医学科技职业学院

出　　处：《九江学院学报（自然科学版）》2019年第3期48-51,58,共5页Journal of Jiujiang University：Natural Science Edition

基　　金：福建省教育厅中青年教师教育科研课题(编号JZ181004);三明医学科技职业学院校级科技类课题(编号2019KY007)的研究成果之一

摘　　要：借助Prewitt算法,文章对机器所采集到的瓷砖图像进行边缘检测技术,从而更加系统、精确地鉴别出同批次瓷砖中存在的表面色差,以达到在瓷砖工业生产中实现瓷砖色差自动分拣的目的。通过图像边缘检测技术可以更加系统、准确地来分拣瓷砖中存在的色差,这样做就大大克服传统依靠人工分拣带来的缺陷,比如分拣效率低、环境影响因素大、工人操作过程中不确定性等,从而在同一时间内大大地提高了瓷砖的生产效率,并且瓷砖的质量有了很大的提高。因此,不仅推动瓷砖行业的发展,也可为其它和颜色分拣相关的行业提供借鉴。The main purpose of this research was to use Prewitt algorithm to detect the edge of ceramic tile images collected by the machine, so as to identify the surface chromatic aberration in the same batch of ceramic tiles more systematically and accurately, and to achieve the purpose of automatic sorting of ceramic tile chromatic aberration in ceramic tile industry production. Our method featured on the sorting of the chromatic aberrations in ceramic tiles more systematically and accurately by image edge detection technology, which could greatly overcome the shortcomings of traditional manual sorting, such as low sorting efficiency, large environmental impact factors, uncertainty in the process of workers operation, thus greatly improving the production efficiency of ceramic tiles at the same time. The quality of ceramic tiles had been greatly improved. Therefore, it not only promotes the development of ceramic tile industry, but also provides reference for other industries related to color sorting.

关 键 词：机器人视觉 Prewitt算法 边缘检测 瓷砖 表面色差 

分 类 号：TP271.9[自动化与计算机技术—检测技术与自动化装置]