화상처리기술을 이용한 옹이의 검출

• 영문명: Detection of Knots by Image Processing Technique
• 발행기관: 한국가구학회
• 저자명: 김병남(Byung-Nam Kim) 이형우(Hyoung-Woo Lee)
• 간행물 정보: 『한국가구학회지』한국가구학회지 제12권 제1호, 27~37쪽, 전체 11쪽
• 주제분류: 예술체육 > 미술
• 파일형태: PDF
• 발행일자: 2001.06.30

영문 초록

Automation of wood processing is strongly required to improve the productivity and quality of wood products in wood industry which is one of the most labor-intensive industries. Classification of surface defects on wood boards such as knots is one of the important step; towards a completely automated wood processing system In this study the possibility of detection of knots by image processing technique was investigated. Algorithm for the automatic determination of threshold value was developed to enhance the flexibility of image processing system T재 different approaches, grid method and tile method, were developed to enhance the speed in extracting features from images. Grid method showed slightly higher processing speed and tile method proved much more stable in determining threshold values. Tile size of 5,0 pixels or 6x6 pixels was found to be proper to get stable result<; with resonable processing time.

목차

1. 緖論

2. 재료 및 방법

3. 결과 및 고찰

4. 결론

참고문헌

키워드

image processing automation knot detection