Y Saukova*

Belarusian National Technical University, Republic of Belarus

*Corresponding Author: Y Saukova, Belarusian National Technical University, Republic of Belarus.

Received: February 24, 2022; Published: April 15, 2022

Abstract

The concept of digital image as an information model of an object for human and machine vision at macro and micro levels is proposed. The sources of traceability for qualitative colorimetry methods are considered. Based on an integrated approach, the issues of colour traceability in high-resolution colorimetry for each element of the information-measuring channel that are illuminant, illuminated surface, recording device, software and display device. The uncertainty factors of measurement information associated with the loss of measurement information during sampling, quantization and encoding of graphical data are considered. The proposed principle of the hierarchy of traceability of digital images is based on the criterion of maximum information entropy, depending on the presence of a traceability source. The undirected graph model for the description and identification of digital images is recommended for the use of high-resolution colorimetry.

Keywords: Digital Image; Colour; Colorimetry; Traceability; Standard Sample; Entropy

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Citation

Citation: Y Saukova. “Colour Traceability in High-resolution Colorimetry: From Mental Images to Virtual Measures". Acta Scientific Medical Sciences 6.5 (2022): 58-63.

Copyright

Copyright: © 2022 Y Saukova. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.