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Image segmentation for binocular stereoscopic dual-energy x-ray imaging

[+] Author Affiliations
Y. S. Yong

Nottingham Trent University, College of Science and Technology, School of Computing and Informatics, Vision Systems Group, Newton Building, Burton Street, Nottingham, NG1 4BU, United Kingdom

J. P. O. Evans

Nottingham Trent University, College of Science and Technology, School of Computing and Informatics, Vision Systems Group, Newton Building, Burton Street, Nottingham, NG1 4BU, United Kingdom

J. W. Chan

Nottingham Trent University, College of Science and Technology, School of Computing and Informatics, Vision Systems Group, Newton Building, Burton Street, Nottingham, NG1 4BU, United Kingdom

J. Electron. Imaging. 14(4), 043012 (December 12, 2005). doi:10.1117/1.2135790
History: Received November 06, 2003; Revised August 23, 2004; Accepted May 06, 2005; Published December 12, 2005; Online December 12, 2005
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To successfully segment a transmission x-ray image the inherent blurring or structural unsharpness present in such an image must be taken into account. Initial work with an established wavelet-based segmentation algorithm resulted in an oversensitive performance with regard to the number of segmented regions detected. To improve on this performance, two segmentation algorithms are developed and tested. The approaches utilize a wavelet transform together with region merging and, alternatively, multilevel thresholding with region merging. These techniques outperform the ordinary wavelet method. Manually segmented images representing ground truth are used for a comparative evaluation of the segmentation techniques. Our work is part of an ongoing collaborative research program with the U.K. Home Office to analyze information extracted from dual-energy x-ray images for aviation security screening applications.

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© 2005 SPIE and IS&T

Citation

Y. S. Yong ; J. P. O. Evans and J. W. Chan
"Image segmentation for binocular stereoscopic dual-energy x-ray imaging", J. Electron. Imaging. 14(4), 043012 (December 12, 2005). ; http://dx.doi.org/10.1117/1.2135790


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