中国材料进展2024,Vol.43Issue(2) :175-180.DOI:10.7502/j.issn.1674-3962.202108021

基于图像形态学的焊缝区域提取与对比度提升技术

Research on Weld Region Extraction and Contrast Enhancement Based on Image Morphology

刘欢 刘骁佳 赵耀邦 王宁 罗志强 危荃
中国材料进展2024,Vol.43Issue(2) :175-180.DOI:10.7502/j.issn.1674-3962.202108021

基于图像形态学的焊缝区域提取与对比度提升技术

Research on Weld Region Extraction and Contrast Enhancement Based on Image Morphology

刘欢 1刘骁佳 1赵耀邦 1王宁 1罗志强 1危荃1
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作者信息

  • 1. 上海航天精密机械研究所, 上海 201600
  • 折叠

摘要

铝板焊接后可使用X射线进行焊缝内部缺陷检测,由于X射线成像存在噪声多、对比度低、焊缝区域边缘模糊、焊缝区域与背景区域灰度分布较为相似等问题,使用传统边缘检测方法效果欠佳.提出了一种自动提取焊缝区域并提高其对比度的方法,通过去噪处理、边缘检测、形态学操作等步骤,最终确定焊缝区域位置,并对焊缝区域内像素值进行线性变换,提高了焊缝区域的对比度.实验结果表明,该方法针对大批量的铝板X射线图片,都能够自动提高焊缝区域的对比度,具有良好的鲁棒性和准确性.

Abstract

After aluminum plate is welded,X-ray can be used to detect the internal defects of weld.Due to the problems of noise,low contrast,fuzzy edge of weld area and uneven brightness distribution in X-ray image,the effect of traditional edge detection method is not good.Therefore,this paper proposes a method to automatically extract weld area and improve its contrast.Through the steps of denoising,edge detection and morphology operation,the weld area position is finally deter-mined,and the pixel value in the weld area is linearly transformed to improve the contrast of the weld area.The experimental results show that this method can automatically improve the contrast of weld area for a large number of aluminum plate X-ray images,and has good robustness and accuracy.

关键词

图像处理/X射线/焊缝区域/梯度/对比度

Key words

image processing/X-ray/weld area/gradient/contrast ratio

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基金项目

上海市浦江人才计划项目(20PJ1405000)

出版年

2024
中国材料进展
中国材料研究学会 西北有色金属研究院

中国材料进展

CSTPCDCSCD北大核心
ISSN:1674-3962
参考文献量13
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