Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (03): 168-174.doi: 10.13475/j.fzxb.20180401607
• Management & Information • Previous Articles Next Articles
XU Yang(), ZHU Zhichao, SHENG Xiaowei, YU Zhiqi, SUN Yize
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[1] | 李慧德. 基于机器视觉的在线尺寸测量方法研究[D]. 天津:天津理工大学, 2014: 1-4. |
Ll Huide. Research of the online dimensional measu-rement based on machine vision[D]. Tianjin: Tianjin University of Technology, 2014: 1-4. | |
[2] | 李文羽, 程隆棣. 基于机器视觉和图像处理的织物疵点检测研究新进展[J]. 纺织学报, 2014,35(3):158-164. |
LI Wenyu, CHENG Longdi. New progress of fabric defect detection based on computer vision and image processing[J]. Journal of Textile Research, 2014,35(3):158-164. | |
[3] | 张开玉, 梁凤梅. 基于改进SURF的图像配准关键算法研究[J]. 科学技术与工程, 2013,13(10):2875-2879. |
ZHANG Kaiyu, LIANG Fengmei. Research on the key algorithm for image matching based on improved SURF[J]. Science Technology and Engineering, 2013,13(10):2875-2879. | |
[4] | SINHA S N, FRAHM J M, POLLEFEYS M, et al. Feature tracking and matching in video using programm able graphics hardware E[J]. Machine Vision & Applications, 2011,22(1):207-217. |
[5] | 章毓晋. 图象分割评价技术分类和比较[J]. 中国图象图形学报, 1996,1(2):151-158. |
ZHANG Yujin. A classification and comparison of evalution techniques for image segmentation[J]. Journal of Image and Graphic, 1996,1(2):151-158. | |
[6] | 张连宽, PAUL Weckler, 肖德琴. 作物叶面图像自动分割方法[J]. 江苏大学学报(自然科学版), 2016,37(6):663-669. |
ZHANG Liankuan, PAUL Weckler, XIAO Deqin. Automtic leaf surface region segmentation from crop image[J]. Journal of Jiangsu University(Natural Science Edition), 2016,37(6):663-669. | |
[7] | 李伟涛, 彭道黎, 吴见. 基于改进边缘分割算法的幼苗信息提取[J]. 农业机械学报, 2014,45(4):259-263. |
LI Weitao, PENG Daoli, WU Jian. Extraction of seedlings information based on improved edge segmentation algorithm[J]. Transactions of The Chinese Society for Agricultural Machinery, 2014,45(4):259-263. | |
[8] | OTSU N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems Man & Cybernetics, 2007,9(1):62-66. |
[9] |
CHEN Q, ZHAO L, LU J, et al. Modified two-dimensional Otsu image segmentation algorithm and fast realisation[J]. Iet Image Processing, 2012,6(4):426-433.
doi: 10.1049/iet-ipr.2010.0078 |
[10] | 赵于前, 杨元, 王琨. 基于模糊集理论的迭代多值化图像分割[J]. 光电子·激光, 2009,20(10):1403-1409. |
ZHAO Yuqian, YANG Yuan, WANG Kun. Iterative multi-level image segmentation based on fuzzy set theory[J]. Journal of Optoelectronics Laser, 2009,20(10):1403-1409. | |
[11] |
KO S J, LEE S J. Center weighted median filter and their applications to image enhancement[J]. IEEE Transactions on Circuits and System, 1991,38(1):984-993.
doi: 10.1109/31.83870 |
[12] | 张丽, 陈志强, 高文焕, 等. 均值加速的快速中值滤波算法[J]. 清华大学学报(自然科学版), 2004,44(9):1157-1159. |
ZHANG Li, CHEN Zhiqiang, GAO Wenhuan, et al. Mean-based fast median filter[J]. Journal of Tsinghua University (Natural Science Edition), 2004,44(9):1157-1159. |
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