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논문검색

Fast Noise Tolerant Vision-based Defect Detection on Flight Deck Surface from Non-destructive Testing Images

초록

영어

Automatic defect detection of a product or a transportation structure is always an important topic of research due to the subjectivity of human visual inspection. Like concrete structure, flight deck surface has low brightness contrast in detecting defects. Unlike concrete structure or a bridge, the defect of a flight deck is not represented as crack lines but as the region of abnormality. Thus in this paper, we propose a method to locate such defective areas automatically by computer vision. The proposed method applies a series of image processing techniques and strong against noise as verified in the experiment.

목차

Abstract
 1. Introduction
 2. Proposed Method
 3. Experimental Results and Discussion
 References

저자정보

  • Kwang Baek Kim Department of Computer Engineering, Silla University, 140 Baegyang-daero(Blvd) 700 beon-gil(Rd), Sasang-gu, Busan 617-736, Korea
  • Doo Heon Song Department of Computer Games, Songdam College, Yongin 449-040, Korea

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