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1995 International Conference on Image Processing (ICIP'95) - Volume 1
Morphological contour coding using structuring functions optimized by genetic algorithms
Washington D.C.
October 23-October 26
ISBN: 0-8186-7310-9
ASCII Text
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P. Brigger, M. Kunt, "Morphological contour coding using structuring functions optimized by genetic algorithms," Image Processing, International Conference on, vol. 1, pp. 534, 1995 International Conference on Image Processing (ICIP'95) - Volume 1, 1995.
 
 
BibTex
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@article{ 10.1109/ICIP.1995.531421,
author = {P. Brigger and M. Kunt},
title = {Morphological contour coding using structuring functions optimized by genetic algorithms},
journal ={Image Processing, International Conference on},
volume = {1},
year = {1995},
isbn = {0-8186-7310-9},
pages = {534},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.531421},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Image Processing, International Conference on
TI - Morphological contour coding using structuring functions optimized by genetic algorithms
SN - 0-8186-7310-9
SP
EP
A1 - P. Brigger,
A1 - M. Kunt,
PY - 1995
KW - mathematical morphology; genetic algorithms; feature extraction; image coding; image representation; morphological contour coding; structuring functions; genetic algorithms; shape representation; image analysis; feature extraction; morphological skeleton; geometrical shape description; maximal inscribed structuring elements; automatic optimization; progressive contour transmission
VL - 1
JA - Image Processing, International Conference on
ER -
 
P. Brigger, Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
M. Kunt, Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Shape representation is an important image analysis task which can be used for contour coding and feature extraction. The morphological skeleton is a geometrical shape description by means of maximal inscribed structuring elements. The form of the structuring element is usually chosen a priori, and we show how genetic algorithms can be used for an automatic optimization of an arbitrary shaped structuring element. It permits improved progressive contour transmission and the extraction of shape features.
Index Terms:
mathematical morphology; genetic algorithms; feature extraction; image coding; image representation; morphological contour coding; structuring functions; genetic algorithms; shape representation; image analysis; feature extraction; morphological skeleton; geometrical shape description; maximal inscribed structuring elements; automatic optimization; progressive contour transmission
Citation:
P. Brigger, M. Kunt, "Morphological contour coding using structuring functions optimized by genetic algorithms," icip, vol. 1, pp.534, 1995 International Conference on Image Processing (ICIP'95) - Volume 1, 1995
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