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논문검색

Steel Wire Infrared Imagery Defect Detection Based on Gradient Vector Flow Model

초록

영어

In order to solve the problem regarding steel wire defect detection, a gradient vector flow calculation method based on extended neighborhood is proposed in this article and applied to the steel wire defect detection. The new method is used to analyze the gradient vector flow model from the angle of mask film, wherein the original four- neighborhood mask film is replaced by the mask film with a larger neighborhood, thus to obtain the gradient vector flow calculation method based on the extended neighborhood. Actually, the new calculation method only needs less iterations to obtain better effect. Experimentally, the algorithm proposed in this article is feasible and has high algorithm execution efficiency and high complexity.

목차

Abstract
 1. Introduction
 2. Initiative Profile Model and Gradient Vector Flow
 3. Dynamic Gradient Vector Flow Calculation Method Based on Extended Neighborhood
 4. Experimental Result and Analysis
 5. Conclusion
 References

저자정보

  • Li Li-Jun School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China, School of Physics Science and Information Engineering, Liaocheng University, Liaocheng 252059, China
  • Sun Guo-Shuai School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China

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