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首页> 外文期刊>The Journal of the Textile Institute >Measurement of long yarn hair based on hairiness segmentation and hairiness tracking
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Measurement of long yarn hair based on hairiness segmentation and hairiness tracking

机译:基于毛羽分割和毛羽跟踪的长纱头发测量

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摘要

For the problem of hairiness information missed in existing hairiness measurement method, the goal of this work is to accurately measure the length of long yarn hairiness and obtain the path over every hairiness point of the whole hairiness. To achieve this goal, the yarn images were captured by the video microscope (MOTIC) and the thinned hairiness images were obtained by a series of image processing. The different measurement baseline and step value were choose to segment long hairiness in the method of hairiness segmentation, and the different hairiness lengths were obtained, the results of length show that the length of 0.5mm (baseline)and 3 pixels (step value) is closest to hairiness real length. And then, the more accurate lengths of the hairiness were calculated by the method of hairiness tracking. The lengths of the two new methods are longer than the length of the method of fixed length (1mm), but the lengths of hairiness tracking is longer than the longest lengths of hairiness segmentation. The compared results show that the method of hairiness tracking can record the information of every point in hairiness and calculate the pixels of a hair fiber, and acquire more complete information of full hairiness then hairiness segmentation.
机译:对于现有的毛羽测量方法中缺少的毛羽信息的问题,该工作的目的是准确地测量长纱毛羽的长度,并获得整个毛羽的每个毛羽点的路径。为了实现该目标,通过视频显微镜(MOTIC)捕获纱线图像,并通过一系列图像处理获得稀疏的毛羽图像。在毛羽分割方法中,选择不同的测量基线和步长值对长毛羽进行分割,得到不同的毛羽长度,长度的结果表明,长度为0.5mm(基线),像素为3个像素(步长)为最接近毛羽实际长度。然后,通过毛羽跟踪方法计算出更精确的毛羽长度。两种新方法的长度都比固定长度(1mm)的方法长,但是毛羽跟踪的长度比毛羽分割的最长长度更长。比较结果表明,毛羽跟踪方法可以记录毛羽中每个点的信息,计算出毛发纤维的像素,可以得到比毛羽分割更完整的毛羽信息。

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