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ISBI
2002
IEEE

Segmentation of biomedical images with eigenvectors

9 years 10 months ago
Segmentation of biomedical images with eigenvectors
We propose the use of eigenvectors for automated multidimensional image segmentation. The approach of Shi and Malik [8] has been extended in three dimensions and applied on biomedical data from electron microscopy and electron beam computed tomography. The approach exploits different similarity criteria e.g. proximity and gray level similarity. Theory, implementation, parameter setting and results are discussed in detail. The method turns out be a powerful tool for visualization, with the potential for developing further affinity measurements adapted to specific applications.
Achilleas S. Frangakis, Reiner Hegerl
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2002
Where ISBI
Authors Achilleas S. Frangakis, Reiner Hegerl
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