THE EFFECT OF FILTERING COLOR HISTOGRAM PEAKS ON IMAGES SIMILARITY ESTIMATION

Authors

  • Andriy Velhosh Ivan Franko National University of Lviv
  • Yuriy Furgala Ivan Franko National University of Lviv
  • Serhiy Velhosh Ivan Franko National University of Lviv

Keywords:

pattern recognition task

Abstract

This work investigates the change of the correlation coefficient of the color (Hue) histograms depending on the number of peaks taken into account. The CQ100 images dataset was used for the research. The idea of the study is to exclude peaks of lower intensity from consideration and to find out how this affects the correlation coefficient.

References

Agoston M.K. Computer Graphics and Geometric Modeling: Implementation and Algorithms. 5th ed. Springer, 2005. 928 P.

Celebi M.E., Pérez-Delgado M.-L. CQ100: A High-Quality Image Dataset for Color Quantization Research. Mendeley Data. 2022. Vol. 2. DOI: 10.17632/vw5ys9hfxw.2

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Published

2025-06-03

How to Cite

[1]
Velhosh, A. et al. 2025. THE EFFECT OF FILTERING COLOR HISTOGRAM PEAKS ON IMAGES SIMILARITY ESTIMATION. International scientific-practical conference "Problems of computer sciences, software modeling and security of digital systems". (Jun. 2025), 171–172.

Issue

2025: 2nd International Scientific and Practical Conference "Problems of Computer Science, Software Modeling and Security of Digital Systems"

Section

Computer science.