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논문검색

Detection of Defects on Steel Surface for using Image Segmentation Techniques

초록

영어

An online surface inspection system m of hot rolled strips is introduced. This system is designed t o detect such main Surface defects on hot rolled strips as scar, scratches, pits, water drops Cracks. Cross hatchings, and so on. Multiple CCD area scan cameras are adopted to capture images of strip surface simultaneously, and all the images are processed by parallel computation system Real-time, which is supported by fast image process techniques and parallel computation techniques, in order to snap main defect regions on the surface of strips. At last, the defects will be classified to several types. The application of the system to practical production line shows that it can detect main defects of hot rolled strips more effectively than traditional method, and it is easily to be maintained.

목차

Abstract
 1. Introduction
 2. Digital Image Processing and Computer Vision
  2.1. Thresholding
  2.2. Region-growing based segmentation
  2.3. Region splitting
  2.4. Merging
  2.5. Split-Merge Segmentation
  2.6. Modern Methods for Image Segmentation
 3. The Tool
 4. Downscaling
 5. Spliting
  5.1. The splitting criterion
  5.2. Detailed description of the code main program
  5.3. Region Continuity
  5.4. Merging
  5.5. The compatibility criterion
  5.6. Detailed description of the code
 6. Conclusion
 References

저자정보

  • S. M. Ramesh Bannari Amman Institute of Technology, Sathyamangalam, India
  • B. Gomathy Bannari Amman Institute of Technology, Sathyamangalam, India
  • T.V.P.Sundararajan Bannari Amman Institute of Technology, Sathyamangalam, India

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