基于机器视觉的异性纤维检测系统

山东大学学报(工学版)

基于机器视觉的异性纤维检测系统

冯显英，任长志，黄燕云

山东大学机械工程学院，山东济南250061

收稿日期:2005-09-29 修回日期:1900-01-01 出版日期:2006-08-24 发布日期:2006-08-24
通讯作者: 冯显英

An inspecting system for foreign fibers based on machine vision

FENG Xian-ying，REN Chang-zhi，HUANG Yan-yun

School of Mechanical Engineering，Shandong University，Jinan 250061,China

Received:2005-09-29 Revised:1900-01-01 Online:2006-08-24 Published:2006-08-24
Contact: FENG Xian-ying

摘要/Abstract

摘要： 异性纤维杂质检测技术是近几年来国内外研究的热点，给出了基于机器视觉的异性纤维检测系统框架，并对系统各个模块关键技术进行了阐述. 为了有效清除异性纤维，提出了一种彩色聚色分割方法用于检测皮棉中的异性纤维. 实验结果表明，此方法可以有效的检测皮棉中的异性纤维.

关键词: 异性纤维, 机器视觉, 面向对象, 图像处理与识别

Abstract: The technologies currently used cannot effectively detect foreign fibers in cotton for their diversity and some almost the same appearance as the cotton fibers， which are paid more attention by many countries. This paper presents an inspecting system for foreign fibers based on machine vision. Then the key technologies of subsystems are respectively discussed. In this paper, a color clustering algorithm for detecting foreign fibers is proposed. The experiment result indicates that most of the foreign fibers can be detected.

Key words:

冯显英,任长志,黄燕云 . 基于机器视觉的异性纤维检测系统[J]. 山东大学学报(工学版), 2006, 36(4): 5-08 .

FENG Xian-ying,REN Chang-zhi,HUANG Yan-yun . An inspecting system for foreign fibers based on machine vision[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(4): 5-08 .

参考文献

相关文章 4

[1]	侯秋林,孙杰,皇攀凌,孙超,牟文平. 基于机器视觉刀具几何参数检测算法与误差分析[J]. 山东大学学报(工学版), 2017, 47(4): 77-82.
[2]	高焕兵, 田国会. 面向配电系统的带电抢修作业机器人[J]. 山东大学学报(工学版), 2015, 45(1): 45-53.
[3]	冯显英张成梁杨丙生李蕾. 基于RGB颜色空间的异性纤维识别检测算法[J]. 山东大学学报(工学版), 2009, 39(5): 68-72.
[4]	毕侠飞,孙同景,杨福刚,张巍 . 非接触式并行连铸方坯在线定尺切割系统研究[J]. 山东大学学报(工学版), 2008, 38(1): 52-55 .

多维度评价

Viewed

Full text

Abstract

Cited

Shared

Discussed