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영상처리를 이용한 용접부 결함의 자동 검출

Detection of Defects on Welding Area Using Image Processing

  • 발행 : 2009.05.30

초록

본 논문에서는 용접부에 존재하는 결함을 자동으로 검출하기 위해서 영상처리 알고리즘을 이용한다. 용접부는 조명에 민감하고 패턴이 불규칙해서 검출에 어려움이 있다. 그래서 두 가지 조명 조건으로 영상을 획득하고 2차에 걸쳐 알고리즘을 적용한다. 1차 알고리즘은 첫 번째 영상을 몇 개의 ROI로 분할 한 후, 분할된 영역들간의 명암도 분포의 유사도를 비교한다. 2차 알고리즘은 두 번째 영상에서 경계 정보를 검출하고 경계선 길이, 곡률, 기준선 범위를 계산한다. 제안한 알고리즘을 이용하여 실험한 결과 결함 검출과 분류에 뛰어난 성능을 보였다.

In this paper, we use image processing algorithms to detect the defects existed on a welding area automatically. It is difficult to detect the welding defects because it is sensitive to lights and has irregular patterns. For this reason, images are captured with 2 kinds of illumination condition, and are processed by 2 different algorithms for each image. The first algorithm separates some ROI's from the captured image and compares the similarity of intensity between each divided region. The second algorithm extracts boundary information from the processed image by the first algorithm, and calculates the length of boundary, curvature and base line area based on boundary information. The proposed method showed high performance in detection and classification of defects.

키워드

참고문헌

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