Title :
Theoretical analysis of a multiscale algorithm for the direct segmentation of tomographic images
Author :
Kerfoot, Ian B. ; Bresler, Yoram
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Abstract :
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
Keywords :
computerised tomography; error analysis; image segmentation; medical image processing; quantisation (signal); Shepp-Logan skull´s quantization error; direct segmentation; monoscale segmentation; multiscale algorithm; multiscale objective function; noise levels; performance analysis; tomographic images; Additive white noise; Algorithm design and analysis; Head; Image analysis; Image segmentation; Imaging phantoms; Pixel; Skull; Tomography; X-ray imaging;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413555
