Classification and identification of foreign fibers in cotton on the basis of a support vector machine-Reference-Cited by-同舟云学术

Classification and identification of foreign fibers in cotton on the basis of a support vector machine

Published:2010-06 Issue:11-12 Volume:51 Page:1433-1437
ISSN:0895-7177
Container-title:Mathematical and Computer Modelling
language:en
Short-container-title:Mathematical and Computer Modelling

Author:

Ji Ronghua,Li Daoliang,Chen Lairong,Yang Wenzhu

Publisher

Elsevier BV

Subject

Computer Science Applications,Modeling and Simulation

Reference11 articles.

1. Y.J. Li, K. Liang, H.Y. Bai, Key technology in detecting and eliminating isomerism fibre in cotton, in: International Conference on Electronic Measurement & Instruments, Xi’an, China, 2007, pp. 728–732

2. Machine vision for automated visual inspection of cotton quality in textile industries using color isodiscrimination contour;Tantaswadi;Computers and Industrial Engineering,1999

3. Objection evaluation of the trash and color of raw cotton by image processing and neural network;Kang;Textile Research Journal,2002

4. Remark upon foreign matter online detecting and clearing;Shi;Shanghai Textile Science & Technology,2007

5. Fluorescent effect of ultra violet and it’s application in detection of foreign fibers in cotton;Luo;Journal of Henan University of Science & Technology (Natural Science),2007

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of progress in research on technology for the detection and removal of foreign fibers;Textile Research Journal;2024-08-19

2. IMAGE PROCESSING APPROACH FOR FOREIGN MATERIAL DETECTION IN COTTON BUNDLE;Tekstil ve Mühendis;2024-03-31

3. Enhancing warp sizing effect and quality: a comprehensive review of the squeezing process and future research;Textile Research Journal;2024-03-08

4. Application of near-infrared spectroscopy and CNN-TCN for the identification of foreign fibers in cotton layers;Journal of Natural Fibers;2023-02-09

5. 基于光学成像的棉花异性纤维检测方法研究进展;Laser & Optoelectronics Progress;2021