Considering the traditional image match optimization algorithm is low efficiency, and ghosting artifact in the field of image stitching is a common problem and the elimination of it is not an easy task. In this paper, we presents that through cluster analysis for different scales of feature points to obtain the global and better stable affine transformation, and the matched feature points are filtered consistency by affine transformation, so it can eliminate the false matching points. An improved dynamic programming (DP) method is presented to find the best stitching line. The improved weighted average method is used to achieve smooth stitching results and eliminate intensity seam effectively. Experimental results show that the proposed algorithm has good result of removing false matching and ghosting artifacts, it is robust.
목차
Abstract 1. Introduction 2. Image Match Algorithm Based on Scale-Clustering Affine Filtering 3. DP Method to Find the Best Stitching Line and Fusion Method 3.1. DP Method to Find the Best Stitching Line 3.2. The Improved Fusion Method 4. Experiment Result and Analysis 5. Conclusion Acknowledgements 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.6 No.5