基于自适应小波变换的陶瓷瓦鼓包检测方法  

Detection method of ceramic tile bulge based on adaptive wavelet transform

作　　者：魏建 杨珊珊[2,3] 郑胜 夏永麒[4] 曾曙光[3] Wei Jian;Yang Shanshan;Zheng Sheng;Xia Yongqi;Zeng Shuguang(College of Computer and Information,China Three Gorges University,Yichang 443000,China;Three Gorges Mathematical Research Center,China Three Gorges University,Yichang 443000,China;College of Science,China Three Gorges University,Yichang 443000,China;College of mechanical and power engineering,China Three Gorges University,Yichang 443000,China)

机构地区：[1]三峡大学计算机与信息学院,宜昌443000 [2]三峡大学三峡数学研究中心,宜昌443000 [3]三峡大学理学院,宜昌443000 [4]三峡大学机械与动力学院,宜昌443000

出　　处：《电子测量技术》2023年第12期157-162,共6页Electronic Measurement Technology

基　　金：国家自然科学基金(U1731124);湖北省教育厅科技攻关计划重点项目(Q20201210);三峡大学研究生教学改革研究项目(SDYJ202126)资助。

摘　　要：瓷砖表面缺陷检测是瓷砖生产过程中不可缺少的环节,针对具有复杂立体纹理干扰的陶瓷瓦表面鼓包缺陷,为了满足自动化检测的需要,本文提出一种基于自适应小波变换的陶瓷瓦表面鼓包检测算法。首先,提取出陶瓷瓦的红色通道图像,并进行高斯滤波的预处理,抑制噪声;其次,采用自适应小波变换、线性中值滤波的方法增强鼓包与背景区域对比度;最后,利用二值化和形态学的方法,得到鼓包区域的信息。实验结果表明,该算法可以检测具有复杂立体纹理干扰的陶瓷瓦表面的鼓包缺陷,检测准确率达到了98.5%,召回率达到了95.0%。Defect detection on ceramic tile surface is an indispensable process during its production.To meet the needs of automatic detection,this paper proposes an algorithm which is based on adaptive wavelet transform,to perform defect bulge detection on ceramic tile surface with complex stereoscopic texture interference.Firstly,the red channel image of the ceramic tile is extracted and preprocessed by Gaussian filtering to suppress noise.Secondly,adaptive wavelet transform and linear median filtering are used to enhance the contrast between the bulge and the background area.Finally,the methods of binarization and morphology are applied to obtain the information of the bulge area.It is noted that the algorithm can detect the bulging defects of ceramic tiles of complex three-dimensional texture,with an accuracy of up to 98.5% and recall rate over 95%.

关 键 词：陶瓷瓦 机器视觉 鼓包检测 小波变换 特征提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]