판재 곡면변형률 자동측정을 위한 적응 2치영상화

• 영문명: Adaptive Image Binarization for Automated Surface Strain Measurment
• 발행기관: 강원대학교 산업기술연구소
• 저자명: 신건일(Shin Gun Il) 권호열(Kwon Ho Yeol) 김형종(Kim Hyong Jong)
• 간행물 정보: 『산업기술연구』vol.17, 21~29쪽, 전체 9쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 1997.09.30

영문 초록

In this paper, an adaptive image binarization scheme is proposed for automated surface strain measurement. At first, we reviewed and image based 3D deformation factor measurement briefly. Then, a new adaptive thresholding method is proposed for the extraction of lattice pattern from a deformed plate image using its local mean and variance. Some experimental results are presented to verify the effectiveness of our approaches.

목차

ABSTRACT

1. 서론

2. 곡면변형률의 영상 측정

3. 영상의 적응2치화

4. 실험 및 결과

5. 결론

참고문헌