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基于模糊逻辑的红外相机模拟器定量化仿真度评价框架(英文)
引用本文:张福娣,张建奇,刘红梅,徐茵. 基于模糊逻辑的红外相机模拟器定量化仿真度评价框架(英文)[J]. 光子学报, 2012, 41(5): 547-553
作者姓名:张福娣  张建奇  刘红梅  徐茵
作者单位:1. 西安电子科技大学技术物理学院,西安,710071
2. 西安电子科技大学技术物理学院,西安710071;山西大同大学物理与电子科学学院,山西大同037009
基金项目:The National Natural Science Foundation of China (No. 61007014) and the Fundamental Research Funds for the Central Universities (No. K50510050001)
摘    要:针对红外相机模拟器仿真度量化评价体系的现状,提出了一种基于模糊逻辑和模糊集思想的全新的理论框架.该框架是一种客观的、多尺度的评价体系,涉及到模糊逻辑、曲线相似度评价、图像质量评估以及信息论等多个交叉领域.和现有的单一尺度的评价方法相比,这种多尺度的仿真度评价分析系统综合考虑了成像系统的主要性能特性参量和系统输出图像的质量,具有更好的任务适应性,可以方便地量化和比较具有相同或相似需求的相机模拟器的仿真度结果.

关 键 词:成像系统  红外相机模拟器  仿真度评价  图像质量准则
收稿时间:2011-10-31

A Fuzzy-logic-based Theoretical Framework for Quantitative Fidelity Evaluation of Infrared Camera Simulators
ZHANG Fu-di , ZHANG Jian-qi , LIU Hong-mei , XU Yin. A Fuzzy-logic-based Theoretical Framework for Quantitative Fidelity Evaluation of Infrared Camera Simulators[J]. Acta Photonica Sinica, 2012, 41(5): 547-553
Authors:ZHANG Fu-di    ZHANG Jian-qi    LIU Hong-mei    XU Yin
Affiliation:1(1 School of Technical Physics,Xidian University,Xi′an 710071,China)(2 School of Physics and Electronic Science,Shanxi Datong University,Datong,Shanxi 037009,China)
Abstract:Aiming to improve the current situation of the simulator fidelity evaluation system, a new theoretical framework based on fuzzy logic and fuzzy set theory is introduced to quantitatively evaluate the simulation fidelity of infrared camera simulators. This framework is an objective and multi parameter evaluation system, which is related to many fields such as fuzzy logic, curve similarity evaluation, image quality assessment, and information theory, etc. Compared with those available, a multi scale fidelity evaluation analysis, which includes performance characteristic evaluation of the total system and image quality assessment of the camera outputs, is considered more compromisingly in this evaluation system. Consequently, the new framework here has better task flexibility and it is easier to quantify and compare the fidelity results between different camera simulators with the same or similar mission requirements.
Keywords:Imaging system  Infrared camera simulator  Fidelity evaluation  Image quality metrics
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