基于Laplacian与多尺度数学形态学的漏磁图像边缘增强方法

论文摘要

为增强管道焊缝漏磁图像的边缘特征,提出一种基于Laplacian与多尺度数学形态学的焊缝漏磁图像边缘增强方法。首先采集管道漏磁内检测器中的漏磁数据进行成像,然后利用数学形态学算法,通过构建多尺度结构元素对图像进行边缘检测,利用边缘颜色约束对删除非边缘点,最后利用拉普拉斯算子对边缘进行增强。结果表明,该方法可较准确地提取漏磁信号图像的焊缝和缺陷边界,实现焊缝和缺陷的边缘增强,具有一定的可行性和实用性。

论文目录

文章来源

类型: 期刊论文

作者: 王竹筠,杨理践,高松巍

关键词: 漏磁图像,数学形态学,边缘颜色约束对,边缘增强

来源: 辽宁石油化工大学学报 2019年05期

年度: 2019

分类: 工程科技Ⅰ辑,信息科技

专业: 石油天然气工业,计算机软件及计算机应用

单位: 沈阳工业大学信息科学与工程学院

基金: 科技部国家重大仪表专项（2012YQ090175）

分类号: TP391.41;TE973.6

页码: 98-102

总页数: 5

文件大小: 1466K

下载量: 123

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标签：漏磁图像论文;  数学形态学论文;  边缘颜色约束对论文;  边缘增强论文;