Volume 2 Number 3 (May 2013)
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IJCCE 2013 Vol.2(3): 314-318 ISSN: 2010-3743
DOI: 10.7763/IJCCE.2013.V2.195

Segmentation of 3D Stereoscopic Images Using LoG Operator for the Detection of Excessive Disparities

Sang Hyun Kim, Jeong Yeop Kim, and Gil Ja So
Abstract—In the 3D stereoscopic images, there are very important that viewer does not feel the discomfort and fatigue. In order to detect the discomfort and fatigue in 3D stereoscopic images, the proposed method detects the excessive disparity regions using the adaptive LoG operator and binarization. The proposed method makes binary image of disparity-map using histogram-based binarization. It also performs region segmentation of the disparity-map using the adaptive LoG operator. In the segmented regions, the overlapped regions with the binarization results are detected as the excessive disparity regions.

Index Terms—3D stereoscopic images, binarization, LoG operator, discomfort and fatigue, disparity-map.

S. H. Kim and G. J. So are with the Department of Computer Engineering of the University of Young-San at Yangsan, Kyungnam (e-mail: ksh50@ ysu.ac.kr, kjso@ ysu.ac.kr).
J. Y. Kim is with the Department of Game Contents Science of the University of Young-San at Busan, as an associate professor (e-mail: neocopy@ ysu.ac.kr).

Cite:Sang Hyun Kim, Jeong Yeop Kim, and Gil Ja So, "Segmentation of 3D Stereoscopic Images Using LoG Operator for the Detection of Excessive Disparities," International Journal of Computer and Communication Engineering vol. 2, no. 3, pp. 314-318, 2013.

General Information

ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: INSPEC, Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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