Sulfur Print를 이용한 슬라브 내부 크랙 및 중심편석 자동 인식 시스템

다국어 초록 (Multilingual Abstract)

This thesis puts forward a suggestion of measuring inner crack and center segregation in steel processing by using scanner and image processing with sulfur printer. To sum up, there are three points in this system. First, it scans sulfur printer and process the image by using histogram, image processing, and the mask. Second, it measures crack and center segregation by the fictitious image and output the length, thickness, exponent and grade on the mornitor. And finally, it gathers the measurement result image and data at the server and this information is used as data for the next casting.

목차 (Table of Contents)

• Abstract
• Ⅰ. 서론
• Ⅱ. 슬라브의 시편 및 셀파 프린트
• Ⅲ. 크랙 및 중심편석 자동판정시스템
• Ⅳ. 실험 및 결과
• Ⅴ. 결론
• 참고문헌

참고문헌 (Reference)

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3 남승훈, "영상처리기법을 이용한 1Cr-1Mo-0.25V강의 피로균열 성장거동 관찰" 한국비파괴검사학회 22 (22): 14-21, 2002

4 S. Beucher, "“The morphological approach of segmentation: The watershed transformation.” in Mathematical Morphology in Image Processing" Marcel Dekker 1992

5 J. P. Basart, "“Binary morphology,” in Advances in Image Analysis" SPIE Press 277-305, 1992

6 "http://www.posco.co.kr"

7 강동중, "Visual C++을 이용한 디지털 영상처리" 사이텍미디어 2003

8 M. Baccar, "Segmentation of range images via data fusion and morphological watersheds" 29 (29): 1671-1685, 1992

9 E. R. Dougherty, "An Introduction to Morphological Image Processing" SPIE-International Society for Optical Engine 1992