Detection of residual yarn on spinning bobbins based on salient region detection
Detection of residual yarn on spinning bobbins based on salient region detection
复制标题
基于显着区域检测的纺纱筒管残纱检测
DOI：
10.1080/00405000.2018.1529850
复制
发表时间：
2019-01
期刊：
影响因子：
--
通讯作者：
高卫东
中科院分区：
文献类型：
--
作者：
王静安;周建;王蕾;潘如如;高卫东
摘要 余纱检测器在纺纱联动络筒系统的管道中发挥着重要作用。本研究提出了一种基于图像的方法来改进传统检测器的精度低、可持续性低和可能损坏纱线等缺点。开发了一种检测系统来捕获和处理线轴图像。该算法包括三个主要步骤：筒管识别、剩余纱线可重复使用判断和不可重复使用剩余纱线检测。通过利用自适应阈值、轮廓检测、感兴趣区域提取和频率调谐显着区域检测，将线轴分为三类，具有理想的准确率。所提出的方法应用于21个不同的线轴样品，获得了100%的检测率，这表明该方法对不同的样品都是有效的。为了测试该方法的稳健性，在八种不同的光照条件下进行了测试。结果表明，该方法在较宽的光照强度范围内都是可靠的。
Abstract Residual yarn detector plays an important role in the pipeline of spinning-linked winding systems. This research proposed an image-based method to improve the traditional detectors who have weaknesses such as low precision, low sustainability and yarn-damage-possibility. A detection system was developed to capture and process the bobbin images. The proposed algorithm includes three main steps: bobbin recognition, residual yarn reusability judgment and un-reusable residual yarn detection. With the utilization of the adaptive threshold, profile detection, region-of-interesting extraction and frequency-tuned salient region detection, the bobbins were classified into three classes with a desirable accuracy rate. The proposed method was applied on 21 different bobbin samples and obtained a 100% detection rate, which demonstrated that the method is effective on different samples. To test the robustness of the method, it was tested in eight different light conditions. The result showed that the method is reliable in a wide range of illumination intensity.
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DOI：
10.11591/telkomnika.v11i7.2820
发表时间：
2013-07
影响因子：
--
作者：
Mu Zhang;X. Ding;Xin Li
通讯作者：
Mu Zhang;X. Ding;Xin Li
DOI：
10.1109/cvpr.2009.5206596
发表时间：
2009-06
期刊：
2009 IEEE Conference on Computer Vision and Pattern Recognition
影响因子：
--
作者：
R. Achanta;S. Hemami;F. Estrada;S. Süsstrunk
通讯作者：
R. Achanta;S. Hemami;F. Estrada;S. Süsstrunk
DOI：
10.4028/www.scientific.net/amm.263-266.2610
发表时间：
2012-12
期刊：
Applied Mechanics and Materials
影响因子：
--
作者：
Mu Zhang;Y. Jia
通讯作者：
Mu Zhang;Y. Jia
使用序列图像形成数字纱线黑板
影响因子：
2.3
作者：
Zhongjian Li;Ruru Pan;Weidong Gao
通讯作者：
Weidong Gao
影响因子：
2.3
作者：
J. Rodgers;C. Delhom;D. Hinchliffe;Hee-Jin Kim;X. Cui
通讯作者：
J. Rodgers;C. Delhom;D. Hinchliffe;Hee-Jin Kim;X. Cui