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An Iterative Segmentation Method Based on a Contextual Color and Shape Criterion
June 1984 (vol. 6 no. 6)
pp. 794-800
ASCII Text
x 
 
J. M. Chassery, C. Garbay, "An Iterative Segmentation Method Based on a Contextual Color and Shape Criterion," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 794-800, June, 1984.
 
 
BibTex
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@article{ 10.1109/TPAMI.1984.4767603,
author = {J. M. Chassery and C. Garbay},
title = {An Iterative Segmentation Method Based on a Contextual Color and Shape Criterion},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {6},
number = {6},
issn = {0162-8828},
year = {1984},
pages = {794-800},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.1984.4767603},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - An Iterative Segmentation Method Based on a Contextual Color and Shape Criterion
IS - 6
SN - 0162-8828
SP794
EP800
EPD - 794-800
A1 - J. M. Chassery,
A1 - C. Garbay,
PY - 1984
VL - 6
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
J. M. Chassery, E.M.Q.C.-TIM 3, Cermo, 38402 Saint Martin, d'Heres Cedex, France.
C. Garbay, E.M.Q.C.-TIM 3, Cermo, 38402 Saint Martin, d'Heres Cedex, France.
An iterative segmentation method is presented and illustrated on specific examples. Full control of each iteration step is obtained by combining local and global properties according to a model of the image structure. A consistent convergence criterion is derived from additional image structure properties and a test is proposed to evaluate adequacy of segmentation.
Citation:
J. M. Chassery, C. Garbay, "An Iterative Segmentation Method Based on a Contextual Color and Shape Criterion," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 794-800, June 1984, doi:10.1109/TPAMI.1984.4767603
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