Computer Vision Based on Statistical Analysis for the Captured ImagesUsing Different Camera Apertures

Abstract

Image qualities limited by several parameters internal (optical systems parameters), and external (environment parameters). These parameters are very important for computer vision and image analysis. Therefore an attempt has been made to study these parameters based on computing the statistical properties of the edge points of captured images. Where we are studied the characteristics of the images that captured under different lightness conditions and used different camera apertures. The statistical properties of image edge points (mean µ, standard deviation σ, and contrast ct) of the RGB-color bands and L-component computed for all the captured images. The results show that the high statistical variations in image quality in homogeneity and sharpness (contrast) when changing the lightness and camera aperture diameter.