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机构地区:[1]武汉科技学院,湖北武汉430073
出 处:《纺织科技进展》2009年第4期60-63,共4页Progress in Textile Science & Technology
摘 要:运用图像处理技术,以Matlab工具为测定平台,通过对涤棉混纺纱截面图像进行一系列的计算机图像处理,实现了提取纱线截面中的纤维截面的轮廓,并提取各纤维截面长、宽等特征参数,从而计算混纺比、标准差等多项指标,降低了人为的测定误差,提高了测定的速度。By using image processing technology and taking Matlab tools as the platform, and by a series of computer image process for the cross-section images of the polyester/cotton yam, extracting the fiber cross-section profile of the blended yarns was realized. And the parameters such as the fiber cross-section length, width and other characteristics were also extracted. Therefore, a number of indicators were estimated such as the average blending ratio, standard deviation eta which reduced human errors in measurement and increased measuring speed.
分 类 号:TS104.5[轻工技术与工程—纺织工程]
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