...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Procedia Manufacturing >A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines
【24h】

A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines

机译：不锈钢生产线残留氧化物尺度检测的图像处理阈值算法的比较研究

获取原文
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The present work is intended for residual oxide scale detection and classification through the application of image processing techniques. This is a defect that can remain in the surface of stainless steel coils after an incomplete pickling process in a production line. From a previous detailed study over reflectance of residual oxide defect, we present a comparative study of algorithms for image segmentation based on thresholding methods. In particular, two computational models based on multi-linear regression and neural networks will be proposed. A system based on conventional area camera with a special lighting was installed and fully integrated in an annealing and pickling line for model testing purposes. Finally, model approaches will be compared and evaluated their performance.
机译：本工作旨在通过应用图像处理技术来进行残留的氧化物尺度检测和分类。这是一种在生产线中不完全酸洗过程之后可以保留在不锈钢线圈表面的缺陷。从先前的详细研究，对残留氧化物缺损的反射率，我们基于阈值方法提出了一种基于阈值方法的图像分割算法的比较研究。特别地，将提出基于多线性回归和神经网络的两个计算模型。基于具有特殊照明的传统区域摄像机的系统安装并完全集成在退火和酸洗线上，以进行模型测试目的。最后，将进行比较和评估其性能的模型方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号