基于机器视觉的筒子纱缺陷在线检测系统

doi:10.13475/j.fzxb.20170405407

摘要/Abstract

摘要：

为提高筒子纱检测过程的自动化程度，设计了一种基于机器视觉的筒子纱缺陷在线检测系统。该系统由2个工业相机、条形LED光源、对照式光电开关和计算机组成。首先，相机与同步光源分时采集筒子纱顶面和侧面过曝模式及正常模式图像。然后通过对顶面过曝图像自适应分割来定位筒子纱中心。其次，通过极坐标变换展开顶面正常图像。最后，在顶面展开图中，分别利用垂直方向边缘分布的投影特征、纹理及强度一致性、局部方向直方图纹理识别菊花芯、多源纱和网纱缺陷；在筒子纱侧面图中，通过投影法快速确定边界位置，并通过轮廓拟合程度识别多层台缺陷。结果表明，该系统可实时识别多层台、网纱、菊花芯、多源纱等筒子纱缺陷，具有较好的检测效果。

关键词: 筒子纱缺陷, 机器视觉, 在线检测, 数字图像处理

Abstract:

In order to improve the degree of automation in the detection process of yarn cone, this paper proposed an on-line detection system for detecting yarn cone defects a on the top surface and sides. The system is composed of two industrial cameras,an LED strip light, a photoelectric sensor and a computer. Firstly, the top images under the overexposure mode and normal mode, the side images under the overexposure mode were time-sharing collected by the camera and light combinations. Secondly, for the top overexposure image, the center of the yarn cone was located in by applying adaptive segmentation method. Thirdly, for the top image of normal mode, the transformed image was carried out after polar coordinate transformation, and the curly core yarn defect, the multi-source yarn defect and the net yarn defect were respectively detected based on analyzing the projective features of vertical edge distribution, analyzing texture and intensity distribution consistency, and local texture direction histogram. Finally, for the side overexposed image, the boundary position was quickly located by projection method, and then the multi-layer defect was determined by analyzing fitting degree of the contours. The experiment results show that the proposed system can identify some kinds of yarn cone defects, including muilti-layer, net yarn, curly core yarn and muilti-source yarn, with high detecting accuracy.

Key words: yarn cone defect, machine vision, on-line detection, digital image processing

牟新刚蔡逸超周晓陈国良. 基于机器视觉的筒子纱缺陷在线检测系统[J]. 纺织学报, 2018, 39(01): 139-145.

参考文献 15

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	YU Chongwen. Spinning process design and quality control[M]. Beijing: China Textile & Apparel Press,2005.
[2]	蔡杰. 基于小浴比筒子纱染色过程的pH值控制方法研究[D]. 广州：华南理工大学，2012.
	CAI Jie. Research on pH control method based on small bath ratio dyeing process[D]. Guangzhou: South China University of Technology, 2012.
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[4]	高潮，任可，郭永彩. 基于机器视觉的裂纹缺陷检测技术[J]. 航空精密制造技术, 2007,43(5):23-25.
	GAO Chao, REN Ke, GUO Yongcai. Crack detection technology based on machine vision[J]. Aviation Precision Manufacturing Technology, 2007, 43(5):23-25.
[5]	陈彪. 光放大、控制及器件[J]. 中国光学, 1994, 86-86.
	CHEN Biao. Optical amplification, control and device[J].China Optics, 1994, 86-86.
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[7]	Qiuping Zhu,Minyuan Wu,Jie L. Fabric defect detection via small scale over-complete basis set[J]. Textile Research Journal, 2014, 84(15):1634-1649.
[8]	A. Rebhi, S. Abid, F. Fnaiech. Texture defect detection method based on H-image and Hotteling model T2[C]. 1st International Conference on Advanced Technologies for Signal and Image Processing - ATSIP. Sousse, 2014: 17-19.
[9]	Junfeng Jing, Xiaoting Fan, Pengfei Li. Patterned fabric defect detection via convolutional matching pursuit dual-dictionary[J]. Optical Engineering, 2016, 55(5).
[10]	李春雷，高广帅，刘洲峰. 应用方向梯度直方图的低秩分解的织物疵点检测算法[J]. 纺织学报，2017，38(3):149-154.
	LI Chunlei, GAO Guangshuai, LIU Zhoufeng. Fabric defect detection algorithm based on low rank decomposition using directional gradient histogram[J]. Journal of Textile Research, 2017, 38(3):149-154.
[11]	郑军，马崇启，吕明汉. 分布式筒子纱自动收集于输送系统开发[J]. 棉纺织技术，2015，43(2):10-14.
	ZHENG Jun, MA Chongqi, LV Minghan. Development of distributed automatic collecting and conveying system for bobbin yarn[J]. Cotton Textile Technology, 2015, 43(2):10-14.
[12]	刘翼龙，尹岗. 采用数字图像处理技术的条干均匀度在线检测系统[J]. 微型机与应用, 2016, 35(1):45-48.
	LIU Yilong, YI Gang. On line evenness detection system using digital image processing technology[J]. Microcomputer & Its Applications, 2016, 35(1):45-48.
[13]	晓卫，李登辉，杨鑫. 面积-极坐标变换在光学相关目标识别中的应用[J]. 光学与光电技术，2016，14(5):78-83.
	XIAO Wei, LI Denghui, YANG Xin. Application of area polar coordinate transform in optical correlation target recognition[J]. Optics & Optoelectronic Technology, 2016, 14(5):78-83.
[14]	Longjun Huang, Qinghua Liu, Jie Tang. Scratch line detection and restoration based on Sobel operator[J]. International Journal of Grid and Utility Computing, 2015, 6(2) : 67-73.
[15]	胡川，陈义，朱卫东. 整体最小二乘和最小二乘拟合空间直线的比较[J]. 大地测量与地球动力学，2015，35(4):689-692.
	HU Chuan, CHEN Yi, ZHU Weidong. The comparison of the whole least squares and least squares fitting to the spatial line[J]. Journal of Geodesy and Geodynamics, 2015, 35(4):689-692.
, [1]	郁崇文. 纺纱工艺设计与质量控制[M]. 北京：中国纺织品出版社，2005.
	YU Chongwen. Spinning process design and quality control[M]. Beijing: China Textile & Apparel Press,2005.
[2]	蔡杰. 基于小浴比筒子纱染色过程的pH值控制方法研究[D]. 广州：华南理工大学，2012.
	CAI Jie. Research on pH control method based on small bath ratio dyeing process[D]. Guangzhou: South China University of Technology, 2012.
[3]	霍恩. 机器视觉[M]. 北京：中国青年出版社，2014.
	Berthold Horn. Beijing: China Youth Publishing Group,2014.
[4]	高潮，任可，郭永彩. 基于机器视觉的裂纹缺陷检测技术[J]. 航空精密制造技术, 2007,43(5):23-25.
	GAO Chao, REN Ke, GUO Yongcai. Crack detection technology based on machine vision[J]. Aviation Precision Manufacturing Technology, 2007, 43(5):23-25.
[5]	陈彪. 光放大、控制及器件[J]. 中国光学, 1994, 86-86.
	CHEN Biao. Optical amplification, control and device[J].China Optics, 1994, 86-86.
[6]	M. Alper Selver,Vural Av?ar,Hakan ?zdemir. Textural fabric defect detection using statistical texture transformation and gradient search[J]. The Journal of the Textile institute,2014,105(9):998-1007.
[7]	Qiuping Zhu,Minyuan Wu,Jie L. Fabric defect detection via small scale over-complete basis set[J]. Textile Research Journal, 2014, 84(15):1634-1649.
[8]	A. Rebhi, S. Abid, F. Fnaiech. Texture defect detection method based on H-image and Hotteling model T2[C]. 1st International Conference on Advanced Technologies for Signal and Image Processing - ATSIP. Sousse, 2014: 17-19.
[9]	Junfeng Jing, Xiaoting Fan, Pengfei Li. Patterned fabric defect detection via convolutional matching pursuit dual-dictionary[J]. Optical Engineering, 2016, 55(5).
[10]	李春雷，高广帅，刘洲峰. 应用方向梯度直方图的低秩分解的织物疵点检测算法[J]. 纺织学报，2017，38(3):149-154.
	LI Chunlei, GAO Guangshuai, LIU Zhoufeng. Fabric defect detection algorithm based on low rank decomposition using directional gradient histogram[J]. Journal of Textile Research, 2017, 38(3):149-154.
[11]	郑军，马崇启，吕明汉. 分布式筒子纱自动收集于输送系统开发[J]. 棉纺织技术，2015，43(2):10-14.
	ZHENG Jun, MA Chongqi, LV Minghan. Development of distributed automatic collecting and conveying system for bobbin yarn[J]. Cotton Textile Technology, 2015, 43(2):10-14.
[12]	刘翼龙，尹岗. 采用数字图像处理技术的条干均匀度在线检测系统[J]. 微型机与应用, 2016, 35(1):45-48.
	LIU Yilong, YI Gang. On line evenness detection system using digital image processing technology[J]. Microcomputer & Its Applications, 2016, 35(1):45-48.
[13]	晓卫，李登辉，杨鑫. 面积-极坐标变换在光学相关目标识别中的应用[J]. 光学与光电技术，2016，14(5):78-83.
	XIAO Wei, LI Denghui, YANG Xin. Application of area polar coordinate transform in optical correlation target recognition[J]. Optics & Optoelectronic Technology, 2016, 14(5):78-83.
[14]	Longjun Huang, Qinghua Liu, Jie Tang. Scratch line detection and restoration based on Sobel operator[J]. International Journal of Grid and Utility Computing, 2015, 6(2) : 67-73.
[15]	胡川，陈义，朱卫东. 整体最小二乘和最小二乘拟合空间直线的比较[J]. 大地测量与地球动力学，2015，35(4):689-692.
	HU Chuan, CHEN Yi, ZHU Weidong. The comparison of the whole least squares and least squares fitting to the spatial line[J]. Journal of Geodesy and Geodynamics, 2015, 35(4):689-692.
, [1]	郁崇文. 纺纱工艺设计与质量控制[M]. 北京：中国纺织品出版社，2005.
	YU Chongwen. Spinning process design and quality control[M]. Beijing: China Textile & Apparel Press,2005.
[2]	蔡杰. 基于小浴比筒子纱染色过程的pH值控制方法研究[D]. 广州：华南理工大学，2012.
	CAI Jie. Research on pH control method based on small bath ratio dyeing process[D]. Guangzhou: South China University of Technology, 2012.
[3]	霍恩. 机器视觉[M]. 北京：中国青年出版社，2014.
	Berthold Horn. Beijing: China Youth Publishing Group,2014.
[4]	高潮，任可，郭永彩. 基于机器视觉的裂纹缺陷检测技术[J]. 航空精密制造技术, 2007,43(5):23-25.
	GAO Chao, REN Ke, GUO Yongcai. Crack detection technology based on machine vision[J]. Aviation Precision Manufacturing Technology, 2007, 43(5):23-25.
[5]	陈彪. 光放大、控制及器件[J]. 中国光学, 1994, 86-86.
	CHEN Biao. Optical amplification, control and device[J].China Optics, 1994, 86-86.
[6]	M. Alper Selver,Vural Av?ar,Hakan ?zdemir. Textural fabric defect detection using statistical texture transformation and gradient search[J]. The Journal of the Textile institute,2014,105(9):998-1007.
[7]	Qiuping Zhu,Minyuan Wu,Jie L. Fabric defect detection via small scale over-complete basis set[J]. Textile Research Journal, 2014, 84(15):1634-1649.
[8]	A. Rebhi, S. Abid, F. Fnaiech. Texture defect detection method based on H-image and Hotteling model T2[C]. 1st International Conference on Advanced Technologies for Signal and Image Processing - ATSIP. Sousse, 2014: 17-19.
[9]	Junfeng Jing, Xiaoting Fan, Pengfei Li. Patterned fabric defect detection via convolutional matching pursuit dual-dictionary[J]. Optical Engineering, 2016, 55(5).
[10]	李春雷，高广帅，刘洲峰. 应用方向梯度直方图的低秩分解的织物疵点检测算法[J]. 纺织学报，2017，38(3):149-154.
	LI Chunlei, GAO Guangshuai, LIU Zhoufeng. Fabric defect detection algorithm based on low rank decomposition using directional gradient histogram[J]. Journal of Textile Research, 2017, 38(3):149-154.
[11]	郑军，马崇启，吕明汉. 分布式筒子纱自动收集于输送系统开发[J]. 棉纺织技术，2015，43(2):10-14.
	ZHENG Jun, MA Chongqi, LV Minghan. Development of distributed automatic collecting and conveying system for bobbin yarn[J]. Cotton Textile Technology, 2015, 43(2):10-14.
[12]	刘翼龙，尹岗. 采用数字图像处理技术的条干均匀度在线检测系统[J]. 微型机与应用, 2016, 35(1):45-48.
	LIU Yilong, YI Gang. On line evenness detection system using digital image processing technology[J]. Microcomputer & Its Applications, 2016, 35(1):45-48.
[13]	晓卫，李登辉，杨鑫. 面积-极坐标变换在光学相关目标识别中的应用[J]. 光学与光电技术，2016，14(5):78-83.
	XIAO Wei, LI Denghui, YANG Xin. Application of area polar coordinate transform in optical correlation target recognition[J]. Optics & Optoelectronic Technology, 2016, 14(5):78-83.
[14]	Longjun Huang, Qinghua Liu, Jie Tang. Scratch line detection and restoration based on Sobel operator[J]. International Journal of Grid and Utility Computing, 2015, 6(2) : 67-73.
[15]	胡川，陈义，朱卫东. 整体最小二乘和最小二乘拟合空间直线的比较[J]. 大地测量与地球动力学，2015，35(4):689-692.
	HU Chuan, CHEN Yi, ZHU Weidong. The comparison of the whole least squares and least squares fitting to the spatial line[J]. Journal of Geodesy and Geodynamics, 2015, 35(4):689-692.
, [1]	郁崇文. 纺纱工艺设计与质量控制[M]. 北京：中国纺织品出版社，2005.
	YU Chongwen. Spinning process design and quality control[M]. Beijing: China Textile & Apparel Press,2005.
[2]	蔡杰. 基于小浴比筒子纱染色过程的pH值控制方法研究[D]. 广州：华南理工大学，2012.
	CAI Jie. Research on pH control method based on small bath ratio dyeing process[D]. Guangzhou: South China University of Technology, 2012.
[3]	霍恩. 机器视觉[M]. 北京：中国青年出版社，2014.
	Berthold Horn. Beijing: China Youth Publishing Group,2014.
[4]	高潮，任可，郭永彩. 基于机器视觉的裂纹缺陷检测技术[J]. 航空精密制造技术, 2007,43(5):23-25.
	GAO Chao, REN Ke, GUO Yongcai. Crack detection technology based on machine vision[J]. Aviation Precision Manufacturing Technology, 2007, 43(5):23-25.
[5]	陈彪. 光放大、控制及器件[J]. 中国光学, 1994, 86-86.
	CHEN Biao. Optical amplification, control and device[J].China Optics, 1994, 86-86.
[6]	M. Alper Selver,Vural Av?ar,Hakan ?zdemir. Textural fabric defect detection using statistical texture transformation and gradient search[J]. The Journal of the Textile institute,2014,105(9):998-1007.
[7]	Qiuping Zhu,Minyuan Wu,Jie L. Fabric defect detection via small scale over-complete basis set[J]. Textile Research Journal, 2014, 84(15):1634-1649.
[8]	A. Rebhi, S. Abid, F. Fnaiech. Texture defect detection method based on H-image and Hotteling model T2[C]. 1st International Conference on Advanced Technologies for Signal and Image Processing - ATSIP. Sousse, 2014: 17-19.
[9]	Junfeng Jing, Xiaoting Fan, Pengfei Li. Patterned fabric defect detection via convolutional matching pursuit dual-dictionary[J]. Optical Engineering, 2016, 55(5).
[10]	李春雷，高广帅，刘洲峰. 应用方向梯度直方图的低秩分解的织物疵点检测算法[J]. 纺织学报，2017，38(3):149-154.
	LI Chunlei, GAO Guangshuai, LIU Zhoufeng. Fabric defect detection algorithm based on low rank decomposition using directional gradient histogram[J]. Journal of Textile Research, 2017, 38(3):149-154.
[11]	郑军，马崇启，吕明汉. 分布式筒子纱自动收集于输送系统开发[J]. 棉纺织技术，2015，43(2):10-14.
	ZHENG Jun, MA Chongqi, LV Minghan. Development of distributed automatic collecting and conveying system for bobbin yarn[J]. Cotton Textile Technology, 2015, 43(2):10-14.
[12]	刘翼龙，尹岗. 采用数字图像处理技术的条干均匀度在线检测系统[J]. 微型机与应用, 2016, 35(1):45-48.
	LIU Yilong, YI Gang. On line evenness detection system using digital image processing technology[J]. Microcomputer & Its Applications, 2016, 35(1):45-48.
[13]	晓卫，李登辉，杨鑫. 面积-极坐标变换在光学相关目标识别中的应用[J]. 光学与光电技术，2016，14(5):78-83.
	XIAO Wei, LI Denghui, YANG Xin. Application of area polar coordinate transform in optical correlation target recognition[J]. Optics & Optoelectronic Technology, 2016, 14(5):78-83.
[14]	Longjun Huang, Qinghua Liu, Jie Tang. Scratch line detection and restoration based on Sobel operator[J]. International Journal of Grid and Utility Computing, 2015, 6(2) : 67-73.
[15]	胡川，陈义，朱卫东. 整体最小二乘和最小二乘拟合空间直线的比较[J]. 大地测量与地球动力学，2015，35(4):689-692.
	HU Chuan, CHEN Yi, ZHU Weidong. The comparison of the whole least squares and least squares fitting to the spatial line[J]. Journal of Geodesy and Geodynamics, 2015, 35(4):689-692.

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