SIBS: a powerful concept for automatic segmentation of electron tomograms

Alexandros A. Linaroudis; Reiner Hegerl

doi:10.1117/12.648883

15 March 2006 SIBS: a powerful concept for automatic segmentation of electron tomograms

Alexandros A. Linaroudis, Reiner Hegerl

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61443H (2006) https://doi.org/10.1117/12.648883
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

A scaling index based segmentation (SIBS) method is proposed in order to improve visualization and interpretation of data obtained by electron tomography. Based on the interpretation of the scaling index as a measure for dimensionality, the pixels/voxels of an image/volume are subdivided into different categories according to the kind of structure they belong to. Using the weighted scaling index method proposed by Räth¹ in conjunction with morphological operators, the approach was adapted to the field of electron microscopy, especially to three-dimensional application as needed by electron tomography. The method turns out to be quite effective for linear structures and membranes. Theory, implementation, parameter settings and results obtained with different kinds of data are presented and discussed.

Citation Download Citation

Alexandros A. Linaroudis and Reiner Hegerl "SIBS: a powerful concept for automatic segmentation of electron tomograms", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61443H (15 March 2006); https://doi.org/10.1117/12.648883

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available