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应用光学成像技术检测棉花中异性纤维的研究进展
引用本文:董超群,杜玉红,任维佳,赵地.应用光学成像技术检测棉花中异性纤维的研究进展[J].纺织学报,2020,41(6):183-189.
作者姓名:董超群  杜玉红  任维佳  赵地
作者单位:1.天津工业大学 机械工程学院, 天津 3003872.天津工业大学 天津市现代机电装备技术重点实验室, 天津 300387
基金项目:国家自然科学基金项目(51205288);国家自然科学基金项目(U1733108);天津市自然科学基金项目(17JCYBJC19400)
摘    要:为进一步提高棉花中异性纤维的检出率,针对光学成像技术在异性纤维检测中的应用情况进行探究,通过阐述紫外光、X射线、线激光、偏振光、红外光和高光谱成像技术的原理和检测效果,分析了各成像方法的优势及局限性。归纳总结了现有研究中存在的问题和不足,认为目前不同种类异性纤维检测适用的成像方法不同,无法同时检测出全部种类的异性纤维;而且多相机成像方案和相机分辨率的提高增加了图像冗余信息,影响了检测速度;同时大部分检测方法仅在实验室条件下得到验证,缺乏实际生产环境的检验。最后指出未来会以多相机多光源成像方案为主,减少图像信息冗余,合理选择光源的种类、数量、功率和安装方式,开发成像系统参数自动调整系统。

关 键 词:棉花异性纤维  光源组合  光谱分析  光学成像  检出率  
收稿时间:2019-05-27

Research progress in optical imaging technology for detecting foreign fibers in cotton
DONG Chaoqun,DU Yuhong,REN Weijia,ZHAO Di.Research progress in optical imaging technology for detecting foreign fibers in cotton[J].Journal of Textile Research,2020,41(6):183-189.
Authors:DONG Chaoqun  DU Yuhong  REN Weijia  ZHAO Di
Affiliation:1. School of Mechanical Engineering, Tiangong University, Tianjin 300387, China2. Tianjin Key Laboratory of Advanced Mechatronics Equipment Technology, Tiangong University, Tianjin 300387, China
Abstract:In order to further improve the detection rate of foreign fibers in cotton, the application of optical imaging technology in foreign fiber detection was explored. The principle and detection effect of ultraviolet, X-ray, linear laser, polarized light, infrared light and hyper-spectral imaging technology were evaluated and analyzed on the advantages and limitations of the various imaging methods, and the existing problems and deficiencies in the current research were summarized. It is considered that different imaging methods should be applied to detect different types of foreign fibers, and it is not possible to detect all types of foreign fibers at the same time. Moreover, the multi-camera imaging scheme and the improvement of camera resolution are found to increase the redundant information of images and affect the detection speed. At the same time, most of the testing methods are only verified under laboratory conditions and are short of verification in actual production environment. It is pointed out that the future research should focus on multi-camera multi-light source imaging scheme, and should work to reduce the redundancy of image information. Light sources should be reasonably selected on type, quantity, power and installation mode, and an automatic parameter adjustment system should be developed for imaging systems.
Keywords:cotton foreign fiber  light source combination  spectral analysis  optical imaging  recognition ratio  
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