机构

• 长春光学精密机械与物... [2]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [2]

发表日期

• 2009 [2]

学科主题

筛选

浏览/检索结果: 共2条，第1-2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 Design of image nonuniformity correction and real-time record for CMOS camera (EI CONFERENCE) 会议论文  OAI收割 9th International Conference on Electronic Measurement and Instruments, ICEMI 2009, August 16, 2009 - August 19, 2009, Beijing, China Huilong Y.; Xin H.; Zhonghui W.; Donghe W. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 A configurable  record capacity extensible and nonuniformity reducible of high speed camera is designed in this paper. The CMOS image sensor lupa-300 which is produced by Cypress Corporation is used for the system. There is nonuniformity existed in the sensor. The two point method of the image with real time correction algorithm has applied to process the image nonuniformity. Then the corrected image is storied into the NandFlash array. To improve the record speed and extend record capacity  the pipelining and parallel bus mechanism is adopted. The experiment which is based on hardware platform indicates the camera can take about 250f/s at a resolution of 640*480  the consistent storage speed is up to 614.4 Mb/s  consistent transmit from flash to Camera Link speed up to 1.093Gb/s.The system record time is up to 18.6 minutes. 2009 IEEE.   A method of aircraft image target recognition based on modified PCA features and SVM (EI CONFERENCE) 会议论文  OAI收割 9th International Conference on Electronic Measurement and Instruments, ICEMI 2009, August 16, 2009 - August 19, 2009, Beijing, China Donghe W.; Xin H.; Wei Z.; Huilong Y. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 Automatic target recognition(ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Dimensionality reduction and Classifier. After pretreatment on original features a self-organizing neural network trained with the Hebbian rule is used to extract the principal component features. Then a classifier based on Directed Acyclic Graph Support Vector Machines(DAGSVM) is adopted to recognize more than two types of aircraft targets. The experiment results show the proposed method achieves better subset features and higher recognition rate. 2009 IEEE.