Open AccessA New Autofocusing Method Based on Brightness and Contrast for Color Cameras
Author(s) -
Murat Selek
Publication year - 2016
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2016.04006
Subject(s) - computer vision , artificial intelligence , brightness , computer science , feature (linguistics) , contrast (vision) , image quality , image (mathematics) , optics , physics , philosophy , linguistics
The autofocusing is one of the most important features of imaging devices. This feature directly affects the quality of the image taken by the imaging device. Currently, many studies are being performed to improve the feature of autofocusing. In this study, we propose a method for passive autofocusing of the color cameras. This method suggested is called as the Passive Autofocusing Based-Brightness and Contrast (PA Based-BC). According to this method, autofocusing is performed by identifying the brightness of the R, G and B color components of the RGB image and by focusing of the camera on the brightest color component. To this end, in this study, many experiments have been conducted. The analyses of these experiments show that the contrast-based focusing made depending on the brightness gives much better results. The use of this method upgrades the focusing accuracy of the color camera up to 95%