To improve the recognition rate of dynamic target under complex background, this paper studied the target characteristics and recognition algorithm of moving target. According to the light intensity, target shape and motion characteristics, the calculation model of the target characteristics was established, the optical radiation characteristic and the detection performance of photoelectric detection system under complex background were analyzed. By means of image segmentation and mathematical morphology transform, the target information extraction and recognition algorithm was researched and analyzed. Through the simulation calculation and experimental verification, the results show that target characteristics model and recognition algorithm is feasible.
목차
Abstract 1. Introduction 2. The Characteristics of Targets under Complex Background 3. The Characteristics of the Target Radiation Source 4. Optical Radiation Characteristic of Target 5. Analysis of Image Gray Model and Detection Performance Model under Complex Background 5.1. The Image Gray Model 5.2. Detection Performance Model 6. Target Recognition Method Based on Image Flow Analysis 6.1. Image Segmentation 6.2. Mathematical Morphology Transform 6.3. Multi-Frame Image Processing 7. Simulation and Experimental Analysis Processing 7.1. The Target Radiation Characteristics Simulation 7.2. Target Recognition Processing Analysis 8. Conclusions References
보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
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 Hybrid Information Technology
간기
격월간
pISSN
1738-9968
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.9 No.5