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15th International Conference on Pattern Recognition (ICPR'00) - Volume 1
Morphological Segmentation of Histology Cell Images
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ASCII Text
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A. Nedzved, S. Ablameyko, I. Pitas, "Morphological Segmentation of Histology Cell Images," Pattern Recognition, International Conference on, vol. 1, pp. 1500, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.905385,
author = {A. Nedzved and S. Ablameyko and I. Pitas},
title = {Morphological Segmentation of Histology Cell Images},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2000},
isbn = {0-7695-0750-6},
pages = {1500},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.905385},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Morphological Segmentation of Histology Cell Images
SN - 0-7695-0750-6
SP
EP
A1 - A. Nedzved,
A1 - S. Ablameyko,
A1 - I. Pitas,
PY - 2000
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
A. Nedzved, National Academy of Sciences
S. Ablameyko, National Academy of Sciences
I. Pitas, Aristotle University of Thessaloniki
Two algorithms for segmentation of cell images are proposed. They have a unique part that contains computation of morphological gradient to extract object borders and thinning the obtained borders to get a line of one-pixel thickness. For this task, we propose the fast gray-scale thinning algorithm that is based on the idea of the analysis of binary image layers. Then, the obtained one-pixel lines are used to extract cells and compute their characteristics. The algorithms based on morphological and split/merge segmentation are developed and used for this task.
Citation:
A. Nedzved, S. Ablameyko, I. Pitas, "Morphological Segmentation of Histology Cell Images," icpr, vol. 1, pp.1500, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000
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