摘要
复杂图像内前后景的亮度分布不均匀,预处理图像过程中存在不可分割图像点,导致监控过程产生延时。针对该问题,设计基于视觉传达的复杂图像抗干扰特征自动化监控方法,首先,以视觉感知得到的复杂图像亮度作为指标,利用视觉传达技术处理复杂图像的像素域,提取像素特征区域中的显著参数;其次,采用可靠匹配的方式,将抗干扰区域处理为多个种子点,控制不可分割图像点产生的干扰;再次,采用一元控制划分抗干扰主特征量,引入数值判别器,完成对自动化监控方法的设计;最后,搭建复杂图像采集设备,标定复杂图像的基本参数,准备基于红外光谱的监控方法、基于背景约束的监控方法,以及设计的监控方法进行实验。结果表明:所设计的自动化监控方法产生的监控延时最小。
The brightness distribution of the front and rear scenes in complex images is not uniform,and there are inseparable image points in the process of preprocessing images,which leads to the delay of the monitoring process.In view of this problem,the automatic monitoring method of anti-interference features of complex images based on visual communication is designed.Complex image brightness by visual perception as an index,using the visual communication technology processing complex image pixel domain,extract significant parameters in the pixel feature area,using reliable matching,the anti-interference area for multiple seed points,control the interference of inseparable image points,using unifying control anti-interference main feature,introduce numerical discriminator,finally complete the design of automatic monitoring method.Build the complex image acquisition equipment,calibrate the basic parameters of the complex images,and prepare the monitoring method based on the infrared spectrum,the background constraint and the designed monitoring method.The results show that the designed automatic monitoring method produces the minimum monitoring delay.
作者
李宗伟
LI Zongwei(Chongqing Creation Vocational College,Chongqing 402160,China)
出处
《流体测量与控制》
2023年第1期58-62,共5页
Fluid Measurement & Control
基金
2015年重庆市高等教育教学改革研究重点项目(152080)。
关键词
视觉传达
复杂图像
抗干扰特征
自动化监控
亮度
监控延时
visual communication
complex image
anti-interference features
automatic monitoring
brightness
monitoring delay
