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

Y.S. Yong; J. Paul Owain Evans; J.W. Chan

doi:10.1117/1.2135790

1 October 2005 Image segmentation for binocular stereoscopic dual-energy x-ray imaging

Y.S. Yong, J. Paul Owain Evans, J.W. Chan

Author Affiliations +

Journal of Electronic Imaging, Vol. 14, Issue 4, 043012 (October 2005). https://doi.org/10.1117/1.2135790

Abstract

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.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Y.S. Yong, J. Paul Owain Evans, and J.W. Chan "Image segmentation for binocular stereoscopic dual-energy x-ray imaging," Journal of Electronic Imaging 14(4), 043012 (1 October 2005). https://doi.org/10.1117/1.2135790

Published: 1 October 2005

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available