机构

• 沈阳自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• 期刊论文 [2]

发表日期

• 2020 [1]
• 2019 [1]
• 2015 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Intelligent fusion method of infrared polarization image based on fireworks algorithm 期刊论文  OAI收割 JOURNAL OF INFRARED AND MILLIMETER WAVES, 2020, 卷号: 39 作者:  Chen Wei;  Sun Xiao-Bing;  Qiao Yan-Li;  Chen Fei-Nan;  Yin Yu-Long   |  收藏  |  浏览/下载：27/0  |  提交时间：2020/10/29 fireworks algorithm  swarm intelligence  infrared polarization image  intelligent fusion  weighted averaging method   Swarm intelligent algorithm for re-entrant hybrid flow shop scheduling problems 期刊论文  OAI收割 International Journal of Simulation and Process Modelling, 2019, 卷号: 14, 期号: 1, 页码: 17-27 作者:  Han ZH(韩忠华);  Tian, Xutian;  Dong XT(董晓婷);  Xie, Fanyi   |  收藏  |  浏览/下载：42/0  |  提交时间：2019/02/24 re-entrant hybrid flow shop  RHFS  mathematics scheduling models  Hamming distance  Levy flight  swarm intelligent algorithm   Artificial Bee Colony Algorithm Based on K-Means Clustering for Droplet Property Optimization 会议论文  OAI收割 8th International Conference on Intelligent Robotics and Applications (ICIRA 2015), Portsmouth, UK, August 24-27, 2015 作者:  Sun LL(孙丽玲);  Hu JT(胡静涛);  He MW(何茂伟);  Chen HN(陈瀚宁) 收藏  |  浏览/下载：27/0  |  提交时间：2015/12/19 Piezoelectric inkjet system  Lumped element modeling  Artificial bee colony algorithm  Swarm intelligent algorithm   The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China 作者:  Liu J.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 In order to solve the registration problem of different source image existed on aerial image fusion  algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper  and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed  high accuracy and high reliability. Basically  with little restriction of gray level properties  a new alignment measure is applied  which can efficiently measure the image registration extent and tolerate noise well. Even more  the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that  the study attains the registration accuracy of pixel level  and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM  solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time  the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms  and the registration result has higher accuracy and stability  which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect  and is easy for application and very suitable for engineering use. 2010 IEEE.