Evaluate Retinex Enhancement Method for Captured Images at DifferentCamera Aperture Using Minimum Distance Classifier

Authors

  • Athraa Jani Department of Computer Science, College of Science, University of Al- Mustansariya
  • Eqbal Mussaa Department of Computer Science, College of Science, University of Al- Mustansariya
  • Anwar Al-Saleh Department of Computer Science, College of Science, University of Al- Mustansariya
  • Ali Al-Zuky Department of Physics, College of Sciences, University of Al- Mustansariya

DOI:

https://doi.org/10.24996/ijs.2012.53.4Appendix.%25g

Keywords:

Captured Images, Aperture

Abstract

In this paper, have been studying the effects of changing camera aperture
diameter on image quality, after that had been classified the captured images through
using Minimum Distance Classification method, after that evaluating the statistical
properties of the original images and analyzing the results. Next step is enhancing
the original images, and using Multi Scale Retinex algorithm, and then classify the
enhanced images and analyze the effects of classification for the enhanced images
through evaluating its statistical properties. We concluded that there was a
noticeable improvement in the results, comparing between the classified original
images with the classified enhanced images, the original image had bad color
appearance, after enhancement it become quite easy to distinguish between different
image’s classes, there was kind of consistency in the average values of each color
band. The language used in this research is MATLAB language (ver. 2008).

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Published

2024-04-26

Issue

Section

Computer Science

How to Cite

Evaluate Retinex Enhancement Method for Captured Images at DifferentCamera Aperture Using Minimum Distance Classifier. (2024). Iraqi Journal of Science, 53(4Appendix), 1103-1110. https://doi.org/10.24996/ijs.2012.53.4Appendix.%g

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