加权
像素
算法
人工智能
噪音(视频)
计算机视觉
计算机科学
迭代重建
a计权
块(置换群论)
图像(数学)
重建算法
超声波传感器
梁(结构)
代数数
模式识别(心理学)
数学
投影(关系代数)
反问题
图像处理
边缘检测
作者
C Hoyle,Mark Sutcliffe,Peter Charlton,S Mosey
出处
期刊:Insight
[British Institute of Non-Destructive Testing]
日期:2021-09-01
卷期号:63 (9): 534-539
标识
DOI:10.1784/insi.2021.63.9.534
摘要
Ultrasonic through-transmission data processed using the back-projection algorithm offers depth and lateral information about a defect beyond the capabilities of current through-transmission techniques. This technique was trialled on a carbon steel block containing side-drilled holes. Imaging artefacts can arise from the use of the backprojection algorithm, due to applying a weighting of one to each pixel, irrespective of how much of the pixel is intersected by the beam. Noise can also occur within the image where there are few intersections of the pixels made. This is seen at the edges of the image. In this paper, a novel back-projection technique utilises the weighting of pixels, dependent on the normalised weight of the beam that intersects them, to reduce any artefacts that occurred previously due to the backprojection algorithm. This paper also explores the use of the algebraic reconstruction technique (ART) algorithm for noise removal, thus increasing the sharpness of the defect.
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