Open AccessMethods of spatial and temporal processing of images in optoelectronic control systems
Author(s) -
V. E. Makhov,
S. E. Shaldaev
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/378/1/012065
Subject(s) - brightness , computer science , pixel , computer vision , artificial intelligence , fixed pattern noise , noise (video) , image resolution , position (finance) , image quality , point (geometry) , frame (networking) , digital image processing , digital image , image processing , image (mathematics) , optics , mathematics , physics , telecommunications , geometry , finance , economics
The data about the effect of image quality on accuracy of information parameters are presented. Studies on accuracy of measuring characteristics of objects in their images depending on image quality are described. Studies showed that accuracy of measurement algorithms improves with an increase in sample sizes of frames in the optoelectronic system (OES). Image quality is improved by processing the frame samples with algorithms for increasing resolution and reducing noise levels, both in single-point and multi-position OESs based on digital cameras with matrix photodetectors. The maximum effect of an increase in information content of the image and accuracy of measuring algorithms is determined by variations in the pixel structure of each image in the region of brightness gradient boundaries. In the single-point OESs which ensure high quality of optical images without noise factors and variations of other external parameters, the optimal number of frames in the OES is four.