期刊文献+

基于机器视觉的红外成像系统探测性能评估 被引量:9

MACHINE VISION BASED IR IMAGING SYSTEM DETECTION PERFORMANCE EVALUATION
下载PDF
导出
摘要 在分析红外成像系统的基础上 ,提出了一种基于机器视觉的系统探测性能评估模型 ,阐述了该种性能评估模型的基本思想、子模块及其预测性能的方法 .实验结果表明该性能评估模型能很好地预测复杂背景中目标的探测性能 . On the basis of the analysis of IR imaging systems, a kind of IR imaging system detection performance model based on the machine vision is presented. Its fundamental theory, subsystem modules and the prediction methods of the detection performances are illustrated. The experimental results show that this performance model can make a good prediction for the detection performance of the target in complex background.
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2003年第4期273-276,共4页 Journal of Infrared and Millimeter Waves
基金 国家自然科学基金 (批准号 60 2 770 0 5 )资助项目~~
关键词 红外成像系统 机器视觉 背景杂波 信号干扰比 探测性能 性能评估模型 目标特征 探测器 图像探测算法 performance evaluation model machine vision background clutter signal-to-interference ratio detection performance
  • 相关文献

参考文献5

  • 1[1]Chtister Wigren. A generic IRST detection performance model. SPIE Proceedings, 2000, 4030: 206-217
  • 2[2]John D McGlynn, Dino J Sofianos. Parametric Model-based characterization of IR clutter. SPIE Proceedings, 1995, 2470: 236-244
  • 3[3]Agostino J D, Webb C, 3-D analysis framework and measurement methodology for imaging system noise. SPIE Proceedings, 1991, 1488: 110-121
  • 4[4]Thomas J Meizler, Haprpreet Singh, Labib Arefeh, et al. Computing the probability of target detection in infrared and visual scenes using the fuzzy logic approach. SPIE Proceedings, 1997, 3063: 2-11
  • 5[5]HUANG Shi-Ke, LI Li-Juan, CHEN Bao-Guo, et al. Performance evaluation system of signal processing algorithm. SPIE Proceedings, 2001, 4553: 185-190

同被引文献56

引证文献9

二级引证文献38

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部