In this paper, we put forward an effective algorithm for edge detection based on combination of multi-shape/scale Mathematical morphology and wavelet transformation. Firstly, the bimodal method and multi-threshold method were combined for the image segmentation. Then, the image edge was detected by the algorithm. Finally, the angle between the bolt and manipulator was calculated using the rotation conversion matrix. With the systematic error and correlation coefficient, the calculated angle was verified. Experimental results show that the method can protect the edge integrity of the nut image, with fast processing speed and strong anti-noise ability. The work in this paper provides a theoretical basis for the automatic recognition in the large ball valve sealing bolt system.
목차
Abstract 1. Introduction 2. Image Processing 2.1 Image Preprocessing 2.2 Image Edge Detection based on Wavelet Transformation 3. Recognition of the Shape Feature Points of Nut 3.1 Conversion of the Coordinate 3.2 Extraction of the Shape Feature points 4. Recognition of Angle between Manipulator and Bolt 5. Discussion 6. Conclusions Acknowledgments References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.6