ANALYSIS AND STATISTICS OF IMAGE HISTOGRAMS.

Authors

  • Ravshan Abduraxmanov

Keywords:

Histogram, image, frequency distribution, intensity, pixel, color, gray image, bing, element, set.

Abstract

The analysis and statistical data of image histograms are studied in the article. It discusses how histograms can be used to interpret image statistics in a visual format and their role in diagnosing various problems. Histograms are important to avoid poor real-time imaging by modern digital devices. It helps to improve image quality by detecting errors during the imaging process and is used for further image processing.

References

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S. J. Ahn. “Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space”, vol. 3151 of “Lecture Notes in Computer Science”. Springer (2004).

Al-Sharadqah and N. Chernov. Error analysis for circle fitting algorithms. Electronic Journal of Statistics 3, 886–911 (2009).

L. Alvarez, P.-L. Lions, and J.-M. Morel. Image selective smoothing and edge detection by nonlinear diffusion (II). SIAM Journal on Numerical Analysis 29(3), 845–866 (1992).

Published

2024-06-05

How to Cite

Abduraxmanov, R. (2024). ANALYSIS AND STATISTICS OF IMAGE HISTOGRAMS. The Descendants of Al-Fargani, 1(2), 143–145. Retrieved from https://al-fargoniy.uz/index.php/journal/article/view/403

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