International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press
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IJCTE 2014 Vol.6(4): 313-318 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.881

Object Extraction with Excessive Disparities in 3D Stereoscopic Images

Sang Hyun Kim, Jeong Yeop Kim, and Gil Ja So

Abstract—In this paper, we propose the method to extract objects with excessive disparities in 3D stereoscopic images using cost function considering the intensity and the depth information. The traditional region segmentation method such as CLRG (Centroid Linkage Region Growing) used in the general 2D images is processed only based on intensity information. 3D stereoscopic images have the additional information that is depth. In the proposed method, first the excessive disparity candidate regions are decided using the pre-defined threshold in the disparity-map. Next the extracted excessive disparity candidate regions are labeled to object regions and the other regions are labeled to background regions. The regions labeled as object are set as region that will be segmented in 3D stereoscopic left image. The proposed segmentation method considering the intensity and the depth is applied to these regions in 3D stereoscopic left image. Finally to eliminate small regions, the morphological filter is used.

Index Terms—3D Stereoscopic images, binary, disparities, region-based segmentation, discomfort and fatigue, cost function.

S. H. Kim is with the Department of Computer Engineering of the University of Young-San at Yangsan, Kyungnam (e-mail: ksh50@ ysu.ac.kr).
J. Y. Kim is with the School of Undeclared Majors, University Collage of the University of Young-San at Busan (e-mail: neocopy@ ysu.ac.kr).
G. J. So is with the Department of Cyber & Police Science of the University of Young-San at Yangsan, Kyungnam (e-mail: kjso@ ysu.ac.kr).

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Cite:Sang Hyun Kim, Jeong Yeop Kim, and Gil Ja So, "Object Extraction with Excessive Disparities in 3D Stereoscopic Images," International Journal of Computer Theory and Engineering vol. 6, no. 4, pp. 313-318, 2014.

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