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

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).