Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (12): 196-204.doi: 10.13475/j.fzxb.20210204309
• Comprehensive Review • Previous Articles
REN Weijia1,2, DU Yuhong1,2(), ZUO Hengli1,2, YUAN Ruwang1,2
CLC Number:
[1] | 杜玉红, 董超群, 任维佳, 等. 改进Faster RCNN模型在棉花异性纤维识别中的应用[J]. 激光与光电子学进展, 2020, 57(12):132-141. |
DU Yuhong, DONG Chaoqun, REN Weijia, et al. Application of improved Faster RCNN model for foreign fiber recognition in cotton[J]. Advances in Lasers & Optoelectronics, 2020, 57(12):132-141. | |
[2] | 马琳, 于永玲. SECUROMATSCFO异性纤维检测清除系统工作原理分析[J]. 棉纺织技术, 2004, 32(2):89-90. |
MA Lin, YU Yongling. Analysis of working principle of SECUROMATSCFO foreign fiber detection and removal system[J]. Cotton Textile Technology, 2004, 32(2):89-90. | |
[3] | 吕晓英, 蒋春玲. 浅谈棉花中异性纤维的危害及杜绝措施[J]. 中国纤检, 2013(Z1):66-67. |
LÜ Xiaoying, JIANG Chunling. Talking about the harm of foreign fiber in cotton and its elimination mea-sures[J]. China Fiber Inspection, 2013(Z1):66-67. | |
[4] | 董超群, 杜玉红, 任维佳, 等. 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. |
DONG Chaoqun, DU Yuhong, REN Weijia, et al. Research progress in optical imaging technology for detecting foreign fibers in cotton[J]. Journal of Textile Research, 2020, 41(6):183-189. | |
[5] | 师红宇, 管声启. 基于视觉注意计算模型的棉花异性纤维检测[J]. 东华大学学报(自然科学版), 2016, 42(3):400-405. |
SHI Hongyu, GUAN Shengqi. Detection of cotton foreign fiber based on visual attention computation model[J]. Journal of Donghua University (Natural Science), 2016, 42(3):400-405. | |
[6] | 何晓昀, 韦平, 张林, 等. 基于深度学习的籽棉中异性纤维检测方法[J]. 纺织学报, 2018, 39(6):131-135. |
HE Xiaoyun, WEI Ping, ZHANG Lin, et al. Detection method of foreign fibers in seed cotton based on deep-learning[J]. Journal of Textile Research, 2018, 39(6):131-135. | |
[7] | 冈萨雷斯. 数字图像处理[M]. 3版. 阮秋琦, 译. 北京: 电子工业出版社, 2011: 26-29. |
RAFAEL C GONZALEZ. Digital image processing[M]. 3rd ed. RUAN Qiuqi, Translating. Beijing: Publishing House of Electronics Industry, 2011: 26-29. | |
[8] | 王成军, 严晨. 机器视觉技术在分拣系统中的应用研究综述[J]. 制造技术与机床, 2020(5):32-37. |
WANG Chengjun, YAN Chen. A review of the application of machine vision technology in sorting system[J]. Manufacturing Technology and Machine Tools, 2020(5):32-37. | |
[9] |
CHERRI A K, KARIM M A. Optical symbolic substitution: edge detection using prewitt, sobel, and roberts operators[J]. Applied Optics, 1989, 28(21):4644-4648.
doi: 10.1364/AO.28.004644 |
[10] | 王小东, 赵仁宏. 基于Kirsch算子图像分割的FPGA设计与实现[J]. 影像科学与光化学, 2019, 37(4):332-335. |
WANG Xiaodong, ZHAO Renhong. Design and implementation of FPGA based on Kirsch operator image segmentation[J]. Imaging Science and Photochemistry, 2019, 37(4):332-335. | |
[11] | 王飞, 靳向煜. 基于边缘检测的原棉杂质图像识别方法适用性分析[J]. 现代纺织技术, 2019, 27(5):39-43. |
WANG Fei, JIN Xiangyu. Applicability analysis of image recognition method for raw cotton impurity based on edge detection[J]. Advanced Textile Technology, 2019, 27(5):39-43. | |
[12] |
LU S, XIN B, DENG N, et al. Investigation of cross-sectional image analysis method to determine the blending ratio of polyester/cotton yarn[J]. Journal of Microscopy, 2020, 279(1):16-25.
doi: 10.1111/jmi.v279.1 |
[13] | 王冬, 尹伯彪, 刘翔, 等. 棉花中白色异性纤维的线扫描激光成像检测方法[J]. 农业工程学报, 2015, 31(9):310-314. |
WANG Dong, YIN Bobiao, LIU Xiang, et al. Linear scanning laser imaging method for detection of white foreign fibers in cotton[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(9):310-314. | |
[14] |
CHEN G, LIU S, LIU J, et al. An accurate detection system of foreign fibers in cotton[J]. Sensor Letters, 2014, 12(3/4):838-842.
doi: 10.1166/sl.2014.3160 |
[15] | CHEN X, CHEN L, WANG S, et al. Research on destriping based on rough set[J]. Journal of Computer and Communications, 2015, 3(11):8-12. |
[16] | WANG X, YANG W, LI Z. A fast image segmentation algorithm for detection of pseudo-foreign fibers in lint cotton[J]. Computers & Electrical Engineering, 2015, 46:500-510. |
[17] | 夏彬, 王泽武, 高慧. 棉纤维视觉检测中图像分割方法适用性分析[J]. 中国棉花加工, 2019(3):7-10. |
XIA Bin, WANG Zewu, GAO Hui. Applicability analysis of image segmentation method in cotton fiber vision detection[J]. Cotton Processing in China, 2019(3):7-10. | |
[18] | HUANG Y, CHEN G X, CHEN Q F. A novel approach of edge detection based on gray correlation degree and kirsch operator[J]. Applied Mechanics & Materials, 2015, 731:169-172. |
[19] | CHEN Z, XU W, LENG W, et al. A new high-speed foreign fiber detection system with machine vision[J]. Mathematical Problems in Engineering, 2010(SPECa):242-256. |
[20] | 向军, 张杰, 潘如如, 等. 采用纹理平滑的印花织物图案轮廓提取[J]. 纺织学报, 2017, 38(11):162-167. |
XIANG Jun, ZHANG Jie, PAN Ruru, et al. The contour extraction of printed fabric patterns with smooth texture[J]. Journal of Textile Research, 2017, 38(11):162-167. | |
[21] | 王欣. 基于机器视觉的棉花伪异性纤维识别研究[D]. 北京:中国农业大学, 2015: 27-31. |
WANG Xin. Research on cotton pseudo foreign fiber recognition based on machine vision[D]. Beijing: China Agricultural University, 2015: 27-31. | |
[22] | 陈铭明. 基于FPGA与DSP的棉花异纤检测系统研究[D]. 南京:南京理工大学, 2015: 40-45. |
CHEN Mingming. Research on cotton foreign fiber detection system based on FPGA and DSP[D]. Nanjing: Nanjing University of Science and Technology, 2015: 40-45. | |
[23] |
ZHENG K Y, YAO Y. Automatic defect detection based on segmentation of pulsed thermographic images[J]. Chemometrics and Intelligent Laboratory Systems, 2017, 162:35-43.
doi: 10.1016/j.chemolab.2017.01.008 |
[24] | 李晓慧, 陈智勇, 韩珑枝. LoG图像分割方法在棉纤维检验中的应用研究[J]. 中国纤检, 2018(1):93-95. |
LI Xiaohui, CHEN Zhiyong, HAN Longzhi. Application of LoG image segmentation method in cotton fiber tes-ting[J]. China Fiber Inspection, 2018(1):93-95. | |
[25] | 马永杰, 陈梦利. 基于改进拉普拉斯-高斯算子的阴影消除方法[J]. 激光与光电子学进展, 2020, 57(12):105-113. |
MA Yongjie, CHEN Mengli. Shadow removal method based on improved laplace-gaussian operator[J]. Laser & Optoelectronics Progress, 2020, 57(12):105-113. | |
[26] | 王秋萍, 张志祥, 朱旭芳. 图像分割方法综述[J]. 信息记录材料, 2019, 20(7):12-14. |
WANG Qiuping, ZHANG Zhixiang, ZHU Xufang. Overview of image segmentation methods[J]. Information Recording Materials, 2019, 20(7):12-14. | |
[27] | ZHANG Y, SMITH P W. Robust and efficient detection of non-lint material in cotton fiber samples[C]// YUPENG, SMITH P W. IEEE 6th International Conference on Computer Society. Orlando: IEEE, 2002: 51-56. |
[28] | PEKER K A. Contaminant and foreign fiber detection in cotton using gaussian mixture model[C]// OZSAN G. IEEE 8th International Conference on Application of Information & Communication Technologies (AICT). Astana: IEEE, 2014: 1-4. |
[29] |
GUO Yingying, WANG Xinjie, ZHAI Yusheng, et al. A novel method for identification of cotton contaminants based on machine vision[J]. International Journal for Light and Electron Optics, 2014, 125(6):1707-1710.
doi: 10.1016/j.ijleo.2013.08.043 |
[30] | WANG Xin, YANG Wenzhu, LI Zhenbo. A fast image segmentation algorithm for detection of pseudo-foreign fibers in lint cotton[J]. Computers & Electrical Engineering, 2015, 46:500-510. |
[31] |
FANG Jingjing, JIANG Yu, YUE Jun, et al. A hybrid approach for efficient detection of plastic mulching films in cotton[J]. Mathematical and Computer Modelling, 2013, 58(3/4):834-841.
doi: 10.1016/j.mcm.2012.12.018 |
[32] | 刘健庄, 栗文青. 灰度图象的二维Otsu自动阈值分割法[J]. 自动化学报, 1993(1):101-105. |
LIU Jianzhuang, LI Wenqing. Two-dimensional Otsu automatic thresholding method for gray image segmentation[J]. Acta Automatica Sinica, 1993(1):101-105. | |
[33] | 王昊鹏, 冯显英, 李丽. 基于改进二维最大类间方差法的白色异性纤维检测算法[J]. 农业工程学报, 2012, 28(8):214-219. |
WANG Haopeng, FENG Xianying, LI Li. A white heterotropic fiber detection algorithm based on the improved two dimensional maximum inter-class variance method[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(8):214-219. | |
[34] | SAHDRA G S, KAILEY K S. Detection of contaminants in cotton by using ydbdr color space[J]. Computer Technology & Applications, 2012, 3(3):1118-1124. |
[35] | GULATI H, SINGH P. SWT approach for the detection of cotton contaminants[J]. International Journal of Computer Science Trends and Technology (IJCST), 2015, 3(2):224-229. |
[36] | KAUR Damandeep, KHULLAR Sunil. Principal component analysis for detecting foreign fiber contaminant in cotton with comparative analysis[J]. International Journal of Computer Science and Communication Engineering, 2014, 3(1):51-55. |
[37] | KAN D. An online image segmentation method for foreign fiber detection in lint[C]// LI D, YANG W. 6th Ifip International Conference on Computer and Computing Technologies in Agriculture. Berlin: Springer, 2010: 701-709. |
[38] | 王昊鹏, 冯显英, 王娜, 等. 基于改进的粒子群多阈值算法的白色异性纤维检测[J]. 农业工程学报, 2013, 29(23):153-158. |
WANG Haopeng, FENG Xianying, WANG Na, et al. Detection of white foreign fibers based on improved particle swarm multiple threshold algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(23):153-158. | |
[39] | 师红宇, 管声启, 吴宁. 棉花中异性纤维的图像多分辨率差分检测方法[J]. 纺织学报, 2014, 35(5):13-18. |
SHI Hongyu, GUAN Shengqi, WU Ning. Image multi-resolution differential detection method for heterogenous fiber in cotton[J]. Journal of Textile Research, 2014, 35(5):13-18. | |
[40] | AGRAWAL P, OJHA G, BHATTACHARYA M. A generic algorithm for segmenting a specified region of interest based on chanvese's algorithm and active contours[M]// New Delhi: Springer India, 2016: 239-247. |
[41] | 李国辉, 苏真伟, 夏心怡. 基于不规则成像机器视觉的棉花白色异纤检测算法[J]. 农业机械学报, 2010, 41(5):164-167. |
LI Guohui, SU Zhenwei, XIA Xinyi. A method of measuring cotton white foreign fiber based on machine vision of irregular imaging[J]. Transactions of the Chinese Society for Agricultural Machinery, 2010, 41(5):164-167. | |
[42] | 张馨, 李道亮, 杨文柱, 等. 高分辨率棉花异性纤维彩色图像的快速分割方法[J]. 农业机械学报, 2011, 42(1):159-164,192. |
ZHANG Xin, LI Daoliang, YANG Wenzhu, et al. A fast segmentation method for high resolution cotton foreign fiber color image[J]. Transactions of the Chinese Society for Agricultural Machinery, 2011, 42(1):159-164,192. | |
[43] |
WANG Guanjun, GAO Gaili, LI Daoliang, et al. Rational position of apparatus for removing cotton foreign fiber in dynamic equilibrium[J]. Applied Mechanics and Materials, 2012, 252:44-50.
doi: 10.4028/www.scientific.net/AMM.252 |
[44] | 李丽. 皮棉中异性纤维检测算法的研究[D]. 济南:山东大学, 2013: 30-57. |
LI Li. Research on foreign fiber detection algorithm in lint[D]. Jinan: Shandong University, 2013: 30-57. | |
[45] | 刘加岭. 基于图像视觉的棉花异性纤维识别关键技术研究[D]. 济南:山东大学, 2020: 37-54. |
LIU Jialing. Research on the key technology of cotton foreign fiber recognition based on image vision[D]. Jinan: Shandong University, 2020: 37-54. | |
[46] | 汪峰, 许忠保, 王正龙, 等. 基于纹理特征的棉亚麻纤维识别技术[J]. 棉纺织技术, 2016, 44(4):1-5. |
WANG Feng, XU Zhongbao, WANG Zhenglong, et al. Identification technology of cotton flax fiber based on textural feature[J]. Cotton Textile Technology, 2016, 44(4):1-5. |
[1] | HU Qun, ZHANG Ning, PAN Ruru. Interactive color replacement method for printed fabrics based on Mean-shift [J]. Journal of Textile Research, 2021, 42(11): 97-102. |
[2] | TUO Wu, WANG Xiaoyu, GAO Yakun, YU Yuanyuan, HAO Xiaoxiao, LIU Yongliang, GUO Xin. Clothing style identification based on improved edge detection algorithm [J]. Journal of Textile Research, 2021, 42(10): 157-162. |
[3] | XU Jin, YANG Pengcheng, XIAO Yuan, XU Guangshen. Visual measurement of key geometric parameters of droplet in circuit jet printing on fabric surface [J]. Journal of Textile Research, 2021, 42(07): 137-143. |
[4] | QIU Kebin, CHEN Weiguo, ZHOU Hua, YING Shuangshuang. Research and development of textile color measurement based on imaging technologies [J]. Journal of Textile Research, 2020, 41(09): 155-161. |
[5] | SHAO Jinxin, ZHANG Baochang, CAO Jipeng. Fiber detection and recognition technology in cotton fiber carding process based on image processing and deep learning [J]. Journal of Textile Research, 2020, 41(07): 40-46. |
[6] | ZHANG Huanhuan, ZHAO Yan, JING Junfeng, LI Pengfei. Yarn evenness measurement based on sub-pixel edge detection [J]. Journal of Textile Research, 2020, 41(05): 45-49. |
[7] | . Inspection of remaining yarn on bobbin based on odd Gabor filters [J]. Journal of Textile Research, 2018, 39(10): 138-142. |
[8] | . Online monitoring of yarn hook stress signal and analysis of spinning tension [J]. Journal of Textile Research, 2018, 39(09): 146-152. |
[9] | . Segmentation of fabric defect images based on improved frequency-tuned salient algorithm [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(05): 125-131. |
[10] | . Spinning breakage detection based on optimized hough transform [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(04): 36-41. |
[11] | . Concave points matching and segmentation algorithm for overlapped fiber image [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(11): 143-149. |
[12] | . Detection method for machine-harvested cotton impurities based on region color segmentation [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(07): 135-141. |
[13] | . Warp knit fabric defect detection method based on optimal Gabor filters [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(11): 48-54. |
[14] | . Fabric image segmentation based on multi-feature fusion [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(08): 149-153. |
[15] | . Backed weave image segmentation based on smoothing filter and watershed algorithm [J]. JOURNAL OF TEXTILE RESEARCH, 2015, 36(08): 38-42. |
|