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University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2016 - 6

 HIGHLY CITED PAPER 

A New Autofocusing Method Based on Brightness and Contrast for Color Cameras

SELEK, M. See more information about SELEK, M. on SCOPUS See more information about SELEK, M. on IEEExplore See more information about SELEK, M. on Web of Science
 
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Download PDF pdficon (1,516 KB) | Citation | Downloads: 647 | Views: 2,322

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
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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%.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef]


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[15] W. Huang, Z. Jing, "Evaluation of Focus Measures in Multi-Focus Image Fusion," Pattern Recognition Letters, vol. 28, no. 4, pp. 493-500, 2007.
[CrossRef] [Web of Science Times Cited 339] [SCOPUS Times Cited 474]


[16] L. Fan, F. Song, S. Jutamulia, "Edge Detection with Large Depth of Focus Using Differential Haar-Gaussian Wavelet Transform," Optics Communications, vol. 270, no. 2, pp. 169-175, 2007.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 11]


[17] D. M. Tsai, C. C. Chou, "A Fast Focus Measure for Video Display Inspection," Machine Vision and Applications, vol. 14, no. 3, pp. 192-196, 2003.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 11]


[18] H. C. Chang, T. M. Shih, N. Z. Chen, N. W. Pu, "A Microscope System Based on Bevel-Axial Method Auto-Focus," Optics and Lasers in Engineering, vol. 47, no. 5, pp. 547-551, 2009.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 30]


[19] M. Selek, "An Adaptive Squared Gradient Algorithm for Autofocusing of Thermal Cameras," International Journal of Innovative Computing Information and Control, vol. 9, no. 2, pp. 841-849, 2013.

[20] I. Lee, M. T. Mahmood, T. S. Choi, "Adaptive Window Selection for 3D Shape Recovery from Image Focus," Optics and Laser Technology, vol.45, pp. 21-31, 2013.
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[22] O. Lossona, L. Macairea, Y. Yanga, "Comparison of Color Demosaicing Methods," Advances in Imaging and Electron Physics, vol. 162, pp. 173-265, 2010.
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[27] S. Podlech, "Autofocus by Bayes Spectral Entropy Applied to Optical Microscopy," Microscopy and Microanalysis, pp. 1-9, 2016.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]


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[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 33]


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References Weight

Web of Science® Citations for all references: 3,307 TCR
SCOPUS® Citations for all references: 4,399 TCR

Web of Science® Average Citations per reference: 79 ACR
SCOPUS® Average Citations per reference: 105 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-05-23 00:13 in 247 seconds.




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