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A New Autofocusing Method Based on Brightness and Contrast for Color CamerasSELEK, M. |
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Author keywords
CCD image sensors, digital images, focusing, image color analysis, image processing
References keywords
focus(25), image(14), measure(10), auto(8), pattern(7), autofocus(7), algorithm(7), systems(6), recognition(6), optics(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 39 - 44
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04006
Web of Science Accession Number: 000390675900006
SCOPUS ID: 85007578320
Abstract
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%. |
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[1] Focus measure method based on the modulus of the gradient of the color planes for digital microscopy, Hurtado-Pérez, Román, Toxqui-Quitl, Carina, Padilla-Vivanco, Alfonso, Aguilar-Valdez, J. Félix, Ortega-Mendoza, Gabriel, Optical Engineering, ISSN 0091-3286, Issue 02, Volume 57, 2018.
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[5] A New DSLR Camera Autofocusing Algorithm Based on Colour Information, Athauda, Hashini Vindya, Balasuriya, Nuwan, 2019 14th Conference on Industrial and Information Systems (ICIIS), ISBN 978-1-7281-3706-3, 2019.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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