基于X射线图像处理的不平等厚度的膝关节的自动缺陷识别
Dazhao Chi1, Ziming Wang1, Haichun Liu2
1National Key Laboratory of Precision Welding and Joining of Materials and Structures, Harbin Institute of Technology, Harbin 150001, China.
Materials (Basel, Switzerland)
|November 27, 2024
概括
本研究提出了一种自动化方法,用于检测不同板厚的膝关节X射线图像中的缺陷. 该方法有效地识别气体孔,改善了工业应用中的缺陷识别.
科学领域:
- 材料科学 材料科学 材料科学
- 非破坏性测试是指非破坏性测试.
- 图像处理 图像处理
背景情况:
- 由于灰度变化和非垂直接接,在厚度不均的膝关节的X射线放射图中自动识别缺陷是具有挑战性的.
- 工件壁厚度的变化会产生不一致的灰度,使图像分析复杂化.
- 工件的形状和固定导致接接的角度,阻碍了自动缺陷定位.
研究的目的:
- 开发一种有效的方法,用于在X射线图像中自动检测具有不平等厚度的膝关节的缺陷.
- 为了应对灰度变化和非垂直接接在缺陷识别中所带来的挑战.
- 提高接元件的自动检查系统的准确性和可靠性.
主要方法:
- 实施了利用不变时刻的X射线图像校正技术.
- 引入了一种基于图像处理的新型背景删除方法,以减轻灰度变化.
- 采用图像噪声抑制,图像细分和数学形态的组合来自动检测缺陷.
主要成果:
- 拟议的方法成功地识别了不平等厚度的自动接膝关节中的气体孔.
- 图像校正和背景删除技术有效地减少了与灰度变化相关的困难.
- 综合缺陷检测方法证明适合于自动化检查.
结论:
- 开发的方法在具有挑战性的X射线检查场景中为自动缺陷识别提供了有效的解决方案.
- 这种方法适用于在不同材料厚度的膝关节中自动检测气孔.
- 该研究有助于在制造业中推进自动化非破坏性测试技术.
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