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Drape measurement by digital image processing

机译:通过数字图像处理进行悬垂测量

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摘要

A Drapemeter has been developed for the measurement of drape values by image processing. The results obtained are not significantly different from those obtained by the conventional method. The drape coefficient measured by pixel counting is closer to that of the conventional method, but the variation is higher than obtained by boundary approximation and Fourier Series. It does not require as much time and skill. It was found that, on repeated measurements, the variation was less than that of the conventional manual method. With the image analysis system, new measures of drape such as the drape distance ratio, number of nodes, fold depth index and amplitude to radius ratio, were defined. Repeated measurement has shown that drape shape is not constant, which causes the fabric to have different drape values. This instability of fabric drape makes it necessary to measure the drape values many times to allow drape values to be used as an objective index for drapeability. It is not easy to measure drape values many times with the conventional method, but the image analysis system makes it quite easy to take multiple measurements.
机译:已经开发了一种悬垂仪,用于通过图像处理来测量悬垂值。获得的结果与通过常规方法获得的结果没有显着差异。通过像素计数测量的悬垂系数更接近于常规方法,但是其变化高于通过边界近似和傅立叶级数获得的悬垂系数。它不需要那么多的时间和技能。发现,在重复测量时,变化小于常规手动方法的变化。使用图像分析系统,定义了悬垂率的新度量,例如悬垂率,节点数,折叠深度指数和幅度半径比。重复测量表明,悬垂形状不是恒定的,这会导致织物具有不同的悬垂值。织物悬垂性的这种不稳定性使得必须多次测量悬垂性值,以允许悬垂性值用作悬垂性的客观指标。用常规方法多次测量悬垂率并不容易,但是图像分析系统使进行多次测量变得相当容易。

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