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Proceedings Paper

Extraction from biological volume data of a region of interest with non-uniform intensity
Author(s): Hiroyuki Shimai; Hideo Yokota; Sakiko Nakamura; Ryutaro Himeno
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Paper Abstract

A method is proposed for extracting the region of interest from biological volume data when non-uniform intensity is involved. Binary coded processing, using thresholding and active contour models, is often used for extracting the region of interest from biological images, but this method suffers from two defects: no allowance is made for the three-dimensional structure of the region of interest and preprocessing of the data is required. On the other hand, the region growing method can extract a complex 3-D structure and requires no preprocessing, although it is difficult to apply to biological volume data that contain a lot of noise and have non- uniform intensity in the region of interest. This paper reports improvements to the conventional region growing method to provide more robustness against non-uniform intensity and noise. This is achieved by only paying attention to the local area, using information inside and outside the region of interest, and by using a median value. This method can be easily applied as the number of parameters is less than that by conventional techniques and no prior knowledge of the original data is needed.

Paper Details

Date Published: 6 December 2005
PDF: 10 pages
Proc. SPIE 6051, Optomechatronic Machine Vision, 605115 (6 December 2005); doi: 10.1117/12.648945
Show Author Affiliations
Hiroyuki Shimai, The Univ. of Electro-Communications (Japan)
RIKEN (Japan)
Hideo Yokota, RIKEN (Japan)
Sakiko Nakamura, RIKEN (Japan)
Ryutaro Himeno, RIKEN (Japan)


Published in SPIE Proceedings Vol. 6051:
Optomechatronic Machine Vision
Kazuhiko Sumi, Editor(s)

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