Earticle

초록

영어

Weld seam recognition is the key technique in visual tracking research. Based on the weld image features, the image preprocessing and the linear feature extraction method of the weld seam recognition are designed. The extended adaptive median filtering method and modified Otsu adaptive threshold selection method for image segmentation are used in the image pre-processing process, to remove the noise and compress the image data. Through comparing with several other edge operators, the Roberts operator is chosen to achieve the goal of detecting the welding edge. Finally, the weld seam information is extracted through Hough transform and a satisfied result can be acquired. The study provides a theoretical support for the following designing of the weld tracking system.

목차

Abstract
 1. Introduction
 2. Weld Seam Identification Method
  2.1. Weld Seam Image Preprocessing Methods
  2.2. Weld Seam Image Segmentation
  2.3. Edge Detection and Feature Extraction Method
 3. Experiment Results
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Jintao Yu [ School of Computer and Information Engineering , Harbin University of Commerce, Harbin, China 150028 ]
• Xian Li [ Dept. of Automatic Test and Control, Harbin Institute of Technology, Harbin, China 150001 ]
• Mingli Ding [ Dept. of Automatic Test and Control, Harbin Institute of Technology, Harbin, China 150001 ]
• Shicheng Dong [ School of Computer and Information Engineering , Harbin University of Commerce, Harbin, China 150028 ]
• Junling Li [ School of Computer and Information Engineering , Harbin University of Commerce, Harbin, China 150028 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605