Suspicious Object Search in Airborne Camera Video Stream

Chyrkov, Artem; Prystavka, Pylyp

doi:10.1007/978-3-319-91008-6_34

Cited by 5 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where each pixel p ij is characterized by coordinates and by three colorful components. Introduce the metrics of informativeness of a digital image [12]:…”

Section: The Study Materials and Methodsmentioning

confidence: 99%

Devising information technology for determining the redundant information content of a digital image

Prystavka

Dukhnovska

Kovtun

et al. 2021

EEJET

Self Cite

View full text Add to dashboard Cite

The information technology that implements evaluation of redundant information using the methods of preprocessing and segmentation of digital images has been devised. The metrics for estimating redundant information containing a photo image using the approach based on texture variability were proposed. Using the example of aerial photography data, practical testing and research into the proposed assessment were carried out. Digital images, formed by various optoelectronic facilities, are distorted under the influence of obstacles of various nature. These obstacles complicate both the visual analysis of images by a human and their automatic processing. A solution to the problem can be obtained through preprocessing, which will lead to an increase in the informativeness of digital image data at a general decrease in content. An experimental study of the dependence of image informativeness on the results of overlaying previous filters for processing digital images, depending on the values of parameters of methods, was carried out. It was established that the use of algorithms sliding window analysis can significantly increase the resolution of analysis in the time area while maintaining a fairly high ability in the frequency area. The introduced metrics can be used in problems of computer vision, machine and deep learning, in devising information technologies for image recognition. The prospect is the task of increasing the efficiency of processing the monitoring results by automating the processing of the received data in order to identify informative areas. This will reduce the time of visual data analysis. The introduced metrics can be used in the development of automated systems of air surveillance data recognition.

show abstract

“…where each pixel p ij is characterized by coordinates and by three colorful components. Introduce the metrics of informativeness of a digital image [12]:…”

Section: The Study Materials and Methodsmentioning

confidence: 99%