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Digital image processing for the interpretation of radiographs used for condition monitoring

机译:数字图像处理,用于解释用于状态监控的射线照片

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Digital image processing of radiographs has shown itself to be a useful aid to the analysis of indications and the verification of indication changes within the context of condition monitoring. With the help of special algorithms, objective and fast computer-based evaluation of crack-like indications is possible, even when the indications lack contrast and are in an area of wide density variation. The indications can be described in units of measurement: contrast, half-width and length. In contrast to previous ultrasonic methods, a threshold can be set which takes into account length and contrast; this allows discrimination between relevant indications and noise or geometric inexactitudes. This threshold can be set with great sensitivity (minimum contrast ΔD = 0.01 - determined over 5 pixels and length 1 td 10 mm). Radiographic indic'ations,of defects affecting wall thickness (cracks and undercut) can be detected in areas including excess penetration and mismatch. In cases of plant monitoring, radiographic indications can be compared quantitatively in terms of contrast, half-width and length in order to establish a reliable body of evidence.
机译:X射线照片的数字图像处理已证明对状态显示范围内的适应症分析和适应症验证非常有用。借助特殊算法,即使在指示物缺乏对比度且密度变化范围很大的情况下,也可以基于计算机对裂痕状指示物进行客观,快速的评估。指示可以测量单位来描述:对比度,半角和长度。与以前的超声方法相比,可以设置一个考虑长度和对比度的阈值。这可以区分相关的指示和噪音或几何缺陷。可以非常高的灵敏度设置此阈值(最小对比度ΔD= 0.01-在5个像素上确定,长度为1 td 10 mm)。可以在包括过度渗透和不匹配在内的区域中检测出影响壁厚的缺陷(裂纹和底切)的射线照相指示。在工厂监控的情况下,可以根据对比度,半角宽度和长度定量比较射线照相指示,以建立可靠的证据体系。

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