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Segmentation of images using a simplified watershed algorithm

R Serneels, N Nieniewski and Etienne Kerre UGent (2000) Intelligent techniques and soft computing in nuclear science and engineering. p.231-238
abstract
The watershed algorithm is a technique used for image segmentation. The segmentation here signifies that the image is partitioned into connected regions. Each region contains pixels having more or less the same characteristics. A region may be characterized by a mean value of gray levels, variances of gray levels, etc. The standard watershed algorithm, based on the use of mathematical morphology was proposed in (1). The current paper describes a modification of this algorithm, which is easier to explain and implement, and gives satisfactory results in a typical case. The paper presents two applications of the watershed algorithm. One of them is related to the quality control, and in particular to the detection of defects of the manufactured ferrite cores. The watershed algorithm is then particularly suited to the extraction of the shape of large defects. The other presented application of the watershed is in medical imaging. As an example, the use of the watershed in the extraction of the gray matter in an NMR image of a human spinal cord is presented.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
in
Intelligent techniques and soft computing in nuclear science and engineering
editor
D Ruan, HA Abderrahim, P D'Hondt and Etienne Kerre UGent
pages
231 - 238
publisher
World Scientific
place of publication
Singapore, Singapore
conference name
4th International FLINS conference on Intelligent Techniques and Soft Computing in Nuclear Science and Engineering
conference location
Brugge, Belgium
conference start
2000-08-28
conference end
2000-08-30
Web of Science type
Proceedings Paper
Web of Science id
000186424600028
ISBN
9789810243562
language
English
UGent publication?
yes
classification
P1
id
123670
handle
http://hdl.handle.net/1854/LU-123670
date created
2004-01-14 13:36:00
date last changed
2017-01-02 09:52:21
@inproceedings{123670,
  abstract     = {The watershed algorithm is a technique used for image segmentation. The segmentation here signifies that the image is partitioned into connected regions. Each region contains pixels having more or less the same characteristics. A region may be characterized by a mean value of gray levels, variances of gray levels, etc. The standard watershed algorithm, based on the use of mathematical morphology was proposed in (1). The current paper describes a modification of this algorithm, which is easier to explain and implement, and gives satisfactory results in a typical case. The paper presents two applications of the watershed algorithm. One of them is related to the quality control, and in particular to the detection of defects of the manufactured ferrite cores. The watershed algorithm is then particularly suited to the extraction of the shape of large defects. The other presented application of the watershed is in medical imaging. As an example, the use of the watershed in the extraction of the gray matter in an NMR image of a human spinal cord is presented.},
  author       = {Serneels, R and Nieniewski, N and Kerre, Etienne},
  booktitle    = {Intelligent techniques and soft computing in nuclear science and engineering},
  editor       = {Ruan, D and Abderrahim, HA and D'Hondt, P and Kerre, Etienne},
  isbn         = {9789810243562},
  language     = {eng},
  location     = {Brugge, Belgium},
  pages        = {231--238},
  publisher    = {World Scientific},
  title        = {Segmentation of images using a simplified watershed algorithm},
  year         = {2000},
}

Chicago
Serneels, R, N Nieniewski, and Etienne Kerre. 2000. “Segmentation of Images Using a Simplified Watershed Algorithm.” In Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, ed. D Ruan, HA Abderrahim, P D’Hondt, and Etienne Kerre, 231–238. Singapore, Singapore: World Scientific.
APA
Serneels, R., Nieniewski, N., & Kerre, E. (2000). Segmentation of images using a simplified watershed algorithm. In D Ruan, H. Abderrahim, P. D’Hondt, & E. Kerre (Eds.), Intelligent techniques and soft computing in nuclear science and engineering (pp. 231–238). Presented at the 4th International FLINS conference on Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, Singapore, Singapore: World Scientific.
Vancouver
1.
Serneels R, Nieniewski N, Kerre E. Segmentation of images using a simplified watershed algorithm. In: Ruan D, Abderrahim H, D’Hondt P, Kerre E, editors. Intelligent techniques and soft computing in nuclear science and engineering. Singapore, Singapore: World Scientific; 2000. p. 231–8.
MLA
Serneels, R, N Nieniewski, and Etienne Kerre. “Segmentation of Images Using a Simplified Watershed Algorithm.” Intelligent Techniques and Soft Computing in Nuclear Science and Engineering. Ed. D Ruan et al. Singapore, Singapore: World Scientific, 2000. 231–238. Print.