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IMAGE SEGMENTATION: A WATERSHED TRANSFORMATION ALGORITHM
Author(s) -
Lamia Jaafar Belaid,
Walid Mourou
Publication year - 2011
Publication title -
image analysis and stereology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.237
H-Index - 27
eISSN - 1854-5165
pISSN - 1580-3139
DOI - 10.5566/ias.v28.p93-102
Subject(s) - watershed , transformation (genetics) , image segmentation , segmentation , image (mathematics) , artificial intelligence , scale space segmentation , computer science , algorithm , computer vision , mathematics , biochemistry , chemistry , gene
The goal of this work is to present a new method for image segmentation using mathematicalmorphology. The approach used is based on the watershed transformation. In order to avoid an oversegmentation, we propose to adapt the topological gradient method. The watershed transformation combined with a fast algorithm based on the topological gradient approach gives good results. The numerical tests obtained illustrate the efficiency of our approach for image segmentation

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