计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (19): 162-166.

• 图形图像处理 • 上一篇    下一篇

基于空间模型及连通域分析的异纤维在线检测

陈亚军,张二虎,牟永强   

  1. 西安理工大学 信息科学系,西安 710048
  • 出版日期:2013-10-01 发布日期:2015-04-20

Online detecting method for foreign fibers based on color space model and connected area analysis algorithm

CHEN Yajun, ZHANG Erhu, MOU Yongqiang   

  1. Department of Information Science, Xi’an University of Technology, Xi’an 710048, China
  • Online:2013-10-01 Published:2015-04-20

摘要: 针对一直困扰棉纺企业的异性纤维问题,从工程实际出发,提出一种快速高效的棉花异纤维在线检测及定位方法。该方法在RGB颜色空间建立了一种判断异性纤维的检测模型及模型参数的离线学习方法,以实现棉花与异性纤维的快速分割;基于形态学处理及连通区域分析算法实现异纤维的准确定位。进一步通过对剔除系统中电磁阀的响应特性测试,提出了剔除时间补偿的思想,可以保证对异性纤维的精准剔除。实验结果表明,该方法能够有效地检测并剔除棉花中的大部分异性纤维。

关键词: 异性纤维检测, 颜色空间模型, 连通区域分析, 电磁阀, 剔除时间补偿

Abstract: Aiming at the problem of foreign fibers in cotton spinning enterprise, a fast and efficient detecting and locating method for foreign fibers in cotton is proposed. In order to achieve fast segmentation of the fibers from cotton, a detecting model of foreign fibers and the model parameters offline learning method are established in RGB color space. Then morphological processing and connected area analysis algorithm are implemented for accurate location of the different foreign fibers in cotton. Furthermore, eliminating time compensation thought is put forward according to the test of electromagnetic valve response characteristics, which can guarantee the precision of elimination of the foreign fibers. The experimental results prove that this method can achieve to detect and eliminate most of the fibers in cotton.

Key words: foreign fibers detecting, color space model, connected area analysis, electromagnetic valve, eliminating time compensation