基于模糊差影法的图像信息缺失检测研究  

Research on the Detection of Image Information Loss Based on Fuzzy Subtraction Method

作　　者：叶琴 宋东[1] 曹玉举 韩仁杰 YE Qin;SONG Dong;CAO Yu-ju;HAN Ren-jie(School of Civil Aviation,Northwestern Polytechnical University,Xi'an Shanxi 710072,China)

机构地区：[1]西北工业大学民航学院,陕西西安710072

出　　处：《计算机仿真》2023年第1期85-88,共4页Computer Simulation

摘　　要：飞机综合显示系统能够显示多种仪表信息,当显示系统出现故障时,会发生图像信息缺失的情况。传统针对图像信息缺失的判别,采用人工判读的方法效率较低,采用自动化检测是其发展趋势。以飞机综合显示系统中的姿态仪为研究对象,对图像显示中可能存在的缺失信息进行自动识别,结合机器视觉检测技术,研究了模糊差影算法,并详细说明了模糊差影算法对图像缺失的判定规则与关键参数的选择方法,指出了传统差影法的不足,从而完成了图像中缺失信息的自动检测。利用GL studio仿真设计的姿态仪进行了实验验证,证明了上述方法的有效性与合理性。The aircraft integrated display system can display a variety of instrument information. When the display system fails, the lack of image information will occur. Traditionally, the manual interpretation method for the lack of image information is less efficient. The use of automatic detection is its development trend. This paper took the attitude instrument in the aircraft integrated display system as the research object, automatically recognized the missing information that may exist in the image display, and combined the machine vision detection technology to study the fuzzy contrast algorithm, and explained in detail the effect of the fuzzy contrast algorithm on the image. The missing judgment rules and the selection method of key parameters point out the shortcomings of the traditional subtraction method, thus completing the automatic detection of missing information in the image. Finally, the attitude instrument designed by GL studio simulation was used for experimental verification, which proves the effectiveness and rationality of the method.

关 键 词：飞机综合显示系统 机器视觉 图像检测 模糊差影法 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]