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Theoretical analysis of a multiscale algorithm for the direct segmentation of tomographic images

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2 Author(s)
Kerfoot, I.B. ; Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA ; Bresler, Y.

Several multiscale objective functions for the direct segmentation of tomographic images are presented. Standard methods of signal detection and estimation are used to develop a theoretical performance analysis, which quantitatively predicts the performance at realistic noise levels. The analysis compares the relative merit of multiscale and monoscale segmentation, and shows the impact of the Shepp-Logan skull's quantization error

Published in:

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference  (Volume:2 )

Date of Conference:

13-16 Nov 1994