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Computer Image Recognition in Detecting Wool and Cashmere Fibers

机译:在检测羊毛和羊绒纤维中的计算机图像识别

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摘要

According to the characteristics of Spatial Periodicity of fibers, wool and cashmere can be identified automatically by digital image processing technology. Fiber images were collected by Image acquisition devices and saved in computer. Then, fiber information like diameter, surface scale height and scale thickness was extracted by Image processing algorithms to analyze and detect the fibers. Results show false rate of detection decreases much when probability multiplication applied.
机译:根据纤维的空间周期性的特点,可以通过数字图像处理技术自动识别羊毛和羊绒。通过图像采集设备收集光纤图像并保存在计算机中。然后,通过图像处理算法提取直径,表面尺度高度和比例厚度等光纤信息,以分析和检测纤维。结果显示在应用概率乘法时,伪检测率降低得多。

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