计算机应用 ›› 2010, Vol. 30 ›› Issue (8): 2247-2249.

• 典型应用 • 上一篇    下一篇

基于人工免疫系统的带钢表面缺陷检测技术

许小润,吴贵芳   

  1. 河南科技大学
  • 收稿日期:2010-01-26 修回日期:2010-03-10 发布日期:2010-07-30 出版日期:2010-08-01
  • 通讯作者: 许小润
  • 基金资助:
    基于数据驱动的故障诊断方法及其应用研究

Surface defects detection technique for steel strips based on artificial immune system

  • Received:2010-01-26 Revised:2010-03-10 Online:2010-07-30 Published:2010-08-01

摘要: 针对传统的图像检测算法对具有噪声以及光照不足或不均匀的带钢表面图像检测时效果不理想的问题,提出了基于人工免疫系统的带钢表面缺陷检测技术。根据检测器和抗原之间的论域空间包含关系,以及自体在论域空间中的位置信息,引进了分块空间的方式,提出了检测器分块的生成算法,对缺陷图像表面灰度信息进行三维恢复,获得带钢表面缺陷的高度信息,实现其三维质量检测。实验表明,该方法无论是在对比度低、光照不均还是有噪声干扰的情况下相对于传统的图像检测算法具有较好的处理效果。

关键词: 带钢, 表面缺陷, 人工免疫系统, 检测器分块, 三维恢复

Abstract: The traditional algorithms of surface defects detection for steel strips cannot achieve expected results because of the image noises, and inadequate or uneven illumination. To address this issue, a new method based on artificial immune system was proposed. According to the spatial inclusion relationship between detector and antigen, as well as self location information in domain, block-based detector generating algorithm was introduced to obtain the height information of surface defects for steel strips through three-dimensional recovery of their gray-level images, thus the three-dimensional quality of surface defects detection for steel strips was achieved. The experimental results show that the proposed method has an excellent effect compared with the traditional image detection algorithm in the condition of low contrast ratio uneven illumination or noise interference.

Key words: steel strip, surface defect, artificial immune system, block-based detector, three-dimensional recovery