TY - GEN
T1 - Segmentations of through-the-wall radar images
AU - Seng, C. H.
AU - Amin, M. G.
AU - Ahmad, F.
AU - Bouzerdoum, A.
PY - 2012
Y1 - 2012
N2 - In this paper, we examine the use of image segmentation approaches for target detection in TWRI. The between-class variance thresholding, entropy-based segmentation, and K-means clustering are applied to segment target and clutter regions. Real 2D polarimetric images are used to demonstrate that simple histogram-based segmentation methods produce either comparable or improved performance over the Likelihood Ratio Tests (LRT) detector. Specifically, the results show that, for the cases considered, the entropy-based segmentation outperforms the other image segmentation methods and the LRT detector.
AB - In this paper, we examine the use of image segmentation approaches for target detection in TWRI. The between-class variance thresholding, entropy-based segmentation, and K-means clustering are applied to segment target and clutter regions. Real 2D polarimetric images are used to demonstrate that simple histogram-based segmentation methods produce either comparable or improved performance over the Likelihood Ratio Tests (LRT) detector. Specifically, the results show that, for the cases considered, the entropy-based segmentation outperforms the other image segmentation methods and the LRT detector.
UR - http://www.scopus.com/inward/record.url?scp=84864251908&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2012.6212219
DO - 10.1109/RADAR.2012.6212219
M3 - Conference contribution
AN - SCOPUS:84864251908
SN - 9781467306584
T3 - IEEE National Radar Conference - Proceedings
SP - 647
EP - 652
BT - 2012 IEEE Radar Conference
T2 - 2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012
Y2 - 7 May 2012 through 11 May 2012
ER -