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Study on Measuring Microfiber Diameter in Melt-blown WebBased on Image Analysis

机译:在图像分析中测量熔喷网上微纤维直径的研究

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摘要

Melt-blown nonwovens are widely used in filter materials, fiber diameters and distributions play an important role in affecting the filtration efficiency of melt-blown material. The traditional method of microfiber diameter testing mainly relies on manual measurement, which is time-consuming and inaccurate. A large number of experiments show that the images quality of melt-blown material captured by optical microscope is not appropriate for automatic image processing. These images were not only vague, but are very difficult to get the clear edges of fibers by Edge Detection, such as LAPLACE, LOG and CANNY, etc. In such circumstances, based on scanning electron microscope (SEM) images, it proposes a new image processing method for measuring microfibers diameters. The new method consists of many steps: edge detection, image segmentation, thinning, lines Unking and rectangle matching, which is successful in making fast, accurate automated measurements of microfiber diameters. The validation experiments show that the microfibers diameters and its distribution of melt-blown material can be measured accurately by the proposed method.
机译:熔喷非织造织物广泛用于过滤材料,纤维直径和分布在影响熔喷材料的过滤效率方面发挥着重要作用。传统的微纤维直径测试方法主要依赖于手动测量,这是耗时和不准确的。大量实验表明,光学显微镜捕获的熔喷材料的图像质量不适用于自动图像处理。这些图像不仅模糊,而且非常难以通过边缘检测获得纤维的清晰边缘,例如拉普拉斯,日志和脆弱等。在这种情况下,基于扫描电子显微镜(SEM)图像,它提出了一种新的用于测量微纤维直径的图像处理方法。新方法包括许多步骤:边缘检测,图像分割,细化,线路unking和矩形匹配,这是成功的快速,准确的微纤维直径的自动测量。验证实验表明,通过所提出的方法可以精确地测量微纤维直径及其熔喷材料的分布。

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