Image Blurring Function as an Informative Criterion

The paper considers the issue of modeling the blurring of the object image on the primary image in an automated monitoring and control system for various categories of moving and stationary objects. The blurring function takes into account the value of the environment parameters between the monitoring system and the object under study, the color components of the object image and background, the movement parameters of the object and the detector, the parameters of tools of detection and primary image processing. The proposed model of the image blurring function makes it possible to present blurring as an important informative criterion that can be used to determine the parameters of movement and state of the desired object, as well as to more accurately assess the possibility of using algorithms and procedures for detecting and recognizing individual objects. The image blurring model allows taking a new look at the border between different objects, the object and the background. The boundary blurred layer can determine not only the noise components of the image and be a quality criterion for determining the sharpness, contrast and clarity of the photo, but also carry important information about the state and behavior of the object itself, as well as generally characterize the operation of an automated monitoring and control system, taking into account the color gradient in the visible spectrum range; the movement of the research object and the hardware of the monitoring system; primary processing of the object image.