期刊文献+

粘胶长丝浴内监测系统设计及应用

The design and application of Viscose Filament yarn Slot Monitoring System
下载PDF
导出
摘要 传统粘胶长丝检测和质量控制基本依赖人工完成,具有速度慢,不能实现实时监控等缺点。机器视觉检测系统作为一种新型的检测技术,具有速度快、精度高、非接触、实时性等优点,将其应用于化纤产品检测领域,可以有效地克服人工检测的不足,提高化纤工厂生产的自动化程度与生产效率。针对粘胶长丝的检测需要,本文对浴内监测系统的设计及粘胶长丝计数算法的研究应用做了详细的探讨。通过分析浴内粘胶长丝图像特性,针对性地研究粘胶长丝图像的分割以及特征提取等算法。结合形态分析,研究粘胶长丝二值图像的计数问题,提出了解决细丝交错重叠的分离连通域算法。实验结果证明本文设计的粘胶长丝浴内检测系统是实用有效的。对实际取样的140幅粘胶长丝图像进行计数算法测试,其中137幅测试结果准确,测量误差控制在3%以内。 The traditional quality control of Viscose Filament yarn mainly relies on manual work,and it is too slow to reach real-time surveillance.As a new-style testing technic,machine vision testing system has the excellences of faster speed,higher precision,and non-contact testing available.It does well in conquering deficiency on manual work and improving both automatization and efficiency if it is used in the field of chemic-fiber quality control. Aiming at the testing needs of viscose filament yarn,this paper particularly researches the design of the Slot Monitoring System and application of Viscose Filament yarn calculating arithmetic.After analyzing the particularity of viscose filament yarn image,and according to the characteristic of viscose filament,we study the arithmetic of segmentation,and feature extraction for the image of viscose filament yarn.Combine with Morphogical analysis,the count problem of viscose filament binary image was studied.A kind of arithmetic for solving the problem of crossover of viscose filament was put forward,which is named Connecting Area Separating method.The experiment outcome well proved validity of Viscose Filament yarn Slot Monitoring Sysetem.140 pieces of images were used to test the calculating arithmetic,and the test results of 137 pieces of them were accurate.The error of test is controlled within 3%
作者 修惠文
出处 《自动化博览》 2008年第S1期145-148,158,共5页 Automation Panorama1
关键词 粘胶长丝 光电成像 CCD 图像处理 形态分析 Viscose Filament photo-electronic imaging CCD image processing Morphogical analysis
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部