多波段红外图像的抗噪背景补偿系统设计
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摘要
针对当前多波段红外图像抗噪能力差,对后续红外图像处理带来不利影响的难题,提出形态学滤波的多波段红外图像抗噪背景补偿方法。首先设计多波段红外图像抗噪背景补偿系统的硬件,包含图像预处理和数字化、抗噪背景增强、帧存储器、时序逻辑控制等模块,然后设计了多波段红外图像抗噪背景补偿的流程,利用形态学滤波对多波段红外图像进行处理,实现多波段红外图像抗噪背景补偿,最后实验结果表明,本文系统能够准确对图像噪声进行准确识别,背景补偿后图像质量好,而且景补偿的速度快。
For the poor anti-noise ability of the multiband infrared image and the adverse impact on the subsequent infrared image processing,a multiband infrared image anti-noise background compensation system with morphological filtering is proposed. First,the hardware of the multiband infrared image anti-noise background compensation system is designed,including the modules of image preprocessing and digitalization,anti-noise background enhancement,frame memory,time series logic control and so on. Then the process of multiband infrared image anti-noise background compensation is designed,and achieve the multiband infrared image processing by morphological filter.The experimental results show that the system can accurately identify the image noise,the image quality is better after background compensation,and the speed of the scene compensation is fast.
For the poor anti-noise ability of the multiband infrared image and the adverse impact on the subsequent infrared image processing,a multiband infrared image anti-noise background compensation system with morphological filtering is proposed. First,the hardware of the multiband infrared image anti-noise background compensation system is designed,including the modules of image preprocessing and digitalization,anti-noise background enhancement,frame memory,time series logic control and so on. Then the process of multiband infrared image anti-noise background compensation is designed,and achieve the multiband infrared image processing by morphological filter.The experimental results show that the system can accurately identify the image noise,the image quality is better after background compensation,and the speed of the scene compensation is fast.
引文
[1]张婕,王颖.基于距离灰度补偿的改进最大熵红外图像分割[J].半导体光电,2016,37(1):126-130.
[2]杨静,李争.一种基于双边滤波的红外图像细节增强方法[J].激光与红外,2016,46(4):507-511.
[3]赵爱罡,王宏力,杨小冈,等.纹理粗糙度在红外图像显著性检测中的应用[J].光学精密工程,2016,24(1):220-228.
[4]邹辉,黄福珍.基于改进FAs T-Match算法的电力设备红外图像多目标定位[J].中国电机工程学报,2017,37(2):591-598.
[5]李英杰,张俊举,常本康,等.远距离多波段红外图像融合系统及配准方法[J].红外与激光工程,2016,45(5):276-282.
[6]李毅,张云峰,年轮,等.尺度变化的Retinex红外图像增强[J].液晶与显示,2016,31(1):104-111.
[7]温海滨,毕笃彦,马时平,等.消除光晕和细节增强的多尺度Retinex红外图像增强[J].红外技术,2016,38(2):149-156.
[8]苏娟,李冰,王延钊.结合PCNN分割和模糊集理论的红外图像增强[J].光学学报,2016,0(9):82-90.
[9]张玉存,张喜英,付献斌,等.基于小波与双三次插值的高温锻件红外图像增强方法[J].中国机械工程,2017,28(17):2095-2099.
[10]张云峰.基于场景复杂度计算的红外图像平台直方图均衡[J].液晶与显示,2016,31(7):695-702.
[11]胡清平,张晓晖,刘超.基于噪声评价的微光红外图像自适应融合方法[J].海军工程大学学报,2017,29(1):102-106.
[12]孟思岐,任侃,路东明,等.一种基于恒定统计的红外图像非均匀性校正算法[J].应用光学,2017,38(2):304-308.
[13]王忠美,杨晓梅,顾行发.基于鲁棒主成分分析的红外图像小目标检测[J].兵工学报,2016,37(9):1753-1760.
[14]王峰,程咏梅.基于MSSTO与NSCT变换的可见光与红外图像增强融合[J].控制与决策,2017,32(2):269-274.
[15]吴炬卓,牛海清,张煌,等.一种应用小波系数GSM模型的混合傅里叶-小波电缆瓷套终端红外图像去噪方法[J].电测与仪表,2018,55(4):113-117.
[2]杨静,李争.一种基于双边滤波的红外图像细节增强方法[J].激光与红外,2016,46(4):507-511.
[3]赵爱罡,王宏力,杨小冈,等.纹理粗糙度在红外图像显著性检测中的应用[J].光学精密工程,2016,24(1):220-228.
[4]邹辉,黄福珍.基于改进FAs T-Match算法的电力设备红外图像多目标定位[J].中国电机工程学报,2017,37(2):591-598.
[5]李英杰,张俊举,常本康,等.远距离多波段红外图像融合系统及配准方法[J].红外与激光工程,2016,45(5):276-282.
[6]李毅,张云峰,年轮,等.尺度变化的Retinex红外图像增强[J].液晶与显示,2016,31(1):104-111.
[7]温海滨,毕笃彦,马时平,等.消除光晕和细节增强的多尺度Retinex红外图像增强[J].红外技术,2016,38(2):149-156.
[8]苏娟,李冰,王延钊.结合PCNN分割和模糊集理论的红外图像增强[J].光学学报,2016,0(9):82-90.
[9]张玉存,张喜英,付献斌,等.基于小波与双三次插值的高温锻件红外图像增强方法[J].中国机械工程,2017,28(17):2095-2099.
[10]张云峰.基于场景复杂度计算的红外图像平台直方图均衡[J].液晶与显示,2016,31(7):695-702.
[11]胡清平,张晓晖,刘超.基于噪声评价的微光红外图像自适应融合方法[J].海军工程大学学报,2017,29(1):102-106.
[12]孟思岐,任侃,路东明,等.一种基于恒定统计的红外图像非均匀性校正算法[J].应用光学,2017,38(2):304-308.
[13]王忠美,杨晓梅,顾行发.基于鲁棒主成分分析的红外图像小目标检测[J].兵工学报,2016,37(9):1753-1760.
[14]王峰,程咏梅.基于MSSTO与NSCT变换的可见光与红外图像增强融合[J].控制与决策,2017,32(2):269-274.
[15]吴炬卓,牛海清,张煌,等.一种应用小波系数GSM模型的混合傅里叶-小波电缆瓷套终端红外图像去噪方法[J].电测与仪表,2018,55(4):113-117.