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JOURNALS // Upravlenie Bol'shimi Sistemami // Archive

UBS, 2022 Issue 97, Pages 87–107 (Mi ubs1111)

Control in Technology and Process Control

Methoarial; analysis of methods of colour calibration of images using rgb ang hsv colour spaces in tasks of intelligent computer vision (for example, images ob-tained in industrial greenhouses

A. D. Kulakovaab, V. A. Galkinb, A. V. Makarenkob

a Moscow Aviation Institute
b V.A. Trapeznikov Institute of Control Sciences of RAS, Moscow

Abstract: The article analyses the problem of colour distortion of images generated by computer vision systems in industrial greenhouses. Methods of colour calibration of images used to correct such distortions are considered. The analysis of the features of the HSV colour space is carried out. A mathematical model in RGB space and two models in HSV space used to solve the colour correction problem have been compiled. A comparative analysis of the quality of the presented algorithms is carried out. The functioning of the algorithms is demonstrated on the task of correcting colour distortions in images of tomatoes grown in industrial greenhouses, under artificial and natural lighting.

Keywords: colour correction of images, computer vision, industrial greenhouses.

UDC: 004.4
BBK: 32.972

Received: November 14, 2021
Published: May 31, 2022

DOI: 10.25728/ubs.2022.97.5



© Steklov Math. Inst. of RAS, 2024