INFLUENCE OF COLOR SPACES IN OBJECT RECOGNITION IN AN IMAGE
Section: GENERAL SECTION
Authors:
1.
Lipetsk State Technical University
(Automated control systems, Professor)
employee from 01.01.2012 to 01.01.2025
employee from 01.01.2012 to 01.01.2025
2.
Lipetsk State Technical University
Russian Federation
Russian Federation
Type:
Сonference article
Pages:
from 179
to 190
Published:
30.12.2025
Subject area:
UDC 519.6
Language:
Russian
Keywords:
color spaces, RGB, HSV, YCbCr, Lab, neural network, computer graphics, image processing, mean square error, object recognition
Abstract (English):
The article examines the influence of RGB, HSV, YCbCr, Lab color spaces in recognizing objects in an image. The work was done using a script written in Python in the Jupiter Notebook environment. The script allows you to get such metrics for comparing images as the mean square error (MSE) and processing speed for each color space. The results of the study using the metric are presented in tabular form and conclusions are made about the work done.
The article examines the influence of RGB, HSV, YCbCr, Lab color spaces in recognizing objects in an image. The work was done using a script written in Python in the Jupiter Notebook environment. The script allows you to get such metrics for comparing images as the mean square error (MSE) and processing speed for each color space. The results of the study using the metric are presented in tabular form and conclusions are made about the work done.
Keywords:
color spaces, RGB, HSV, YCbCr, Lab, neural network, computer graphics, image processing, mean square error, object recognition
color spaces, RGB, HSV, YCbCr, Lab, neural network, computer graphics, image processing, mean square error, object recognition
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