工程科学学报2016，Vol.38Issue(12)：1728-1733,6.DOI:10.13374/j.issn2095-9389.2016.12.010
局部二值模式在连铸坯表面缺陷识别中的应用
Application of local binary patterns to surface defect recognition of continuous casting slabs
摘要
Abstract
To solve the detection problems of slab surface defects by conventional image recognition algorithms,this article introduces an improved muhi-block local binary pattern algorithm which considers the image's pixels.In this algorithm,the original image is divided into several small regions,each small region is equally divided,and the average gray value is calculated.Then the local binary pattern algorithm is used.Five different kinds of 1697 samples gathered from a production line of slabs were examined,including cracks,scratches,indentations,dents,and no defect.The recognition rate reaches 94.9％,while the recognition rate of the traditional local binary pattern method is 89.1％.The results show that the proposed algorithm has the characteristics of high precision,better robustness and noise immunity.关键词
二值模式/表面缺陷/检测/特征提取/连铸/铸坯Key words
binary patterns/surface defects/detection/feature extraction/continuous casting/slabs分类
矿业与冶金引用本文复制引用
田思洋,徐科,郭会昭..局部二值模式在连铸坯表面缺陷识别中的应用[J].工程科学学报,2016,38(12):1728-1733,6.基金项目
“十二五”国家科技支撑计划资助项目(2012BAB19B06) （2012BAB19B06）
教育部博士点基金资助项目(20120006110033) （20120006110033）
