TY - JOUR
T1 - Mean field and information theoretic algorithms for direct segmentation of tomographic images
AU - Kerfoot, Ian B.
AU - Bresler, Yoram
AU - Belmont, Andrew S.
N1 - Funding Information:
This research was supported in part by the Whitaker Foundation and in part by the National Science Foundation Pyl grant No. MIP 9157377.
Funding Information:
This research was supported in part by the Whitaker Foundation and in part by the National Science Foundation PYI grant No. MIP 9157377.
Publisher Copyright:
© 1993 SPIE. All rights reserved.
PY - 1993/7/29
Y1 - 1993/7/29
N2 - We apply the weak membrane model with optimization by mean field annealing to the direct segmentation of tomographic images. We also introduce models based on the minimum description length principle that include penalties for measurement error, boundary length, regions, and means. Outliers are prevented by upper and lower bound constraints on pixel values. Several models are generalized to three-dimensional images. The superiority of our models to convolution back projection is demonstrated experimentally.
AB - We apply the weak membrane model with optimization by mean field annealing to the direct segmentation of tomographic images. We also introduce models based on the minimum description length principle that include penalties for measurement error, boundary length, regions, and means. Outliers are prevented by upper and lower bound constraints on pixel values. Several models are generalized to three-dimensional images. The superiority of our models to convolution back projection is demonstrated experimentally.
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U2 - 10.1117/12.148709
DO - 10.1117/12.148709
M3 - Conference article
AN - SCOPUS:85043414360
SN - 0277-786X
VL - 1905
SP - 956
EP - 963
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Biomedical Image Processing and Biomedical Visualization 1993
Y2 - 31 January 1993 through 5 February 1993
ER -