In order to improve the effect of remote video monitoring system, a new image mosaic technology based on fuzzy cellular automata corner detection is presented. Firstly, the edge feature points from two images are extracted by fuzzy cellular automata; secondly the corner feature points are extracted by corner detection method based on geometry feature of corner; thirdly, the corresponding feature point pairs are got by the cross-correlation of the gray scale around the corner feature points; finally the images can be stitched by matched corner feature point pairs. The experiment of remote viewing image mosaic in substation shows that this method can achieve image mosaic effectively and it will be benefit to improve the safety and reliability of substation operation.
목차
Abstract 1. Introduction 2. Edge Detection based on Fuzzy Cellular Automata 2.1. Cellular Automata 2.2. Direction Information Measure 2.3. Edge Order Measure 2.4. Fuzzy Rule and Fuzzy Measure 2.5. Anti-fuzzy 2.6. Rules of fuzzy CA model 3. Corner Detection Method based on Geometry Feature of Corner 4. Image Mosaic based on Corner Points 5. Experiment of Image Mosaic 6. Conclusion References
키워드
substation remote video monitoring systemimage mosaicfuzzy model cellular automatacorneredge detection
저자
LI Jing [ Electronic Department, Henan Mechaniacal and Electrical Engineering College,China ]
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
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 Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.7 No.6