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Conference papers
Segmentation of head bones in 3-D CT images from an example
Abstract : We propose a new generic framework for segmentation of 3D digital data, based on knowledge contained in a segmentation example of similar data. The integration of prior knowledge is made by registering the image to segment on the segmentation example. Since the registration step relies on binary segmented data, segmentation and registration are performed jointly in a coarse-to-fine way using a multiscale parametric representation of a threshold map and of a deformation field. The threshold map is required by the segmentation procedure which is also devoted to recover topological details. The benefit of such an approach is illustrated in the context of head bone segmentation in 3-D computed tomography (CT) images.
Keywords :
image segmentation
image registration
Cited literature [8 references]
https://hal.univ-reims.fr/hal-01695005
Contributor : Nicolas Passat <>
Submitted on : Monday, February 26, 2018 - 1:06:50 PM
Last modification on : Thursday, March 26, 2020 - 2:14:53 AM
Document(s) archivé(s) le : Monday, May 28, 2018 - 6:57:48 PM
Contributor : Nicolas Passat <>
Submitted on : Monday, February 26, 2018 - 1:06:50 PM
Last modification on : Thursday, March 26, 2020 - 2:14:53 AM
Document(s) archivé(s) le : Monday, May 28, 2018 - 6:57:48 PM
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Faisan_ISBI_2008.pdf
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