DocumentCode :
3475221
Title :
Image segmentation algorithm based on self-organized Kohonen´s neural maps and tree pyramidal segmenter
Author :
Akinin, Maxim V. ; Taganov, Alexandr I. ; Nikiforov, Michael B. ; Sokolova, Alexandra V.
Author_Institution :
Dept. of Space Technol., RSREU, Ryazan, Russia
fYear :
2015
fDate :
14-18 June 2015
Firstpage :
168
Lastpage :
170
Abstract :
This article contains a description of the algorithm for image segmentation based on the use of pyramidal processing using an integrated tree segmenter and a self-organizing Kohonen neural network as a simple segmenter.
Keywords :
image segmentation; self-organising feature maps; trees (mathematics); image segmentation algorithm; integrated tree segmenter; pyramidal processing; self-organized Kohonen neural maps; self-organizing Kohonen neural network; tree pyramidal segmenter; Algorithm design and analysis; Computer vision; Embedded computing; Image segmentation; Neural networks; Neurons; Pattern recognition; Kohonen self-organizing neural map; computer vision; image processing; image pyramid; image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
Type :
conf
DOI :
10.1109/MECO.2015.7181893
Filename :
7181893
Link To Document :
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