- 화상분석에 의한 직물패턴의 자동인식에 관한 연구
- A Study on the Automatic Recognition of Weave Pattern by Digital Image Analysis
- ㆍ 저자명
- 김창훈,강태진
- ㆍ 간행물명
- 韓國纖維工學會誌
- ㆍ 권/호정보
- 1996년|33권 7호|pp.593-601 (9 pages)
- ㆍ 발행정보
- 한국섬유공학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
By using the computer image processing and analysis, a system to detect the weave pattern and yarn colors was developed under Windows 3.1. The image of woven fabric was captured by a HITACHI color CCD camera and converted into digital data through TARGA+32 board. To determine the weave pattern, the changes of gray values at warp/weft interlacing position were analyzed. And this method can also be adapted to colored and patterned fabrics. To do this, the two images, i. e., the transmissive and reflective illuminated images, were used. From the transmitted image, the informations about yarn positions were analyzed. And from the reflected image, the warp/weft interlacing data and the arrangement of colored yarns were obtained. By analyzing the aspect ratio of ellipsoidal image at warp/weft interlacing positions, the warp/weft interlacing data could be obtained. And the HSV color model was used to classify the same yarn colors.