DocumentCode
2283109
Title
Multi-step segmentation of images by means of a recurrent neural network
Author
Nemirovskiy, V.B. ; Stoyanov, A.K.
Author_Institution
Computer-Aided Design Systems Department, Tomsk Polytechnic University, Rusia
fYear
2012
fDate
18-21 Sept. 2012
Firstpage
1
Lastpage
4
Abstract
The application of recurrent neural network for image segmentation is considered. The described method allows to perform clustering of the image parameters without the a priori information about the clusters number. Calculation of network parameters for segmentation is discussed. The experiments results of multi-step segmentation are given.
Keywords
image segmentation; pattern clustering; recurrent neural nets; cluster number; image parameter clustering; multistep image segmentation; network parameters; recurrent neural network; Arrays; Brightness; Entropy; Image color analysis; Image segmentation; Neurons; Recurrent neural networks; critical point; image; pixel; point map; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technology (IFOST), 2012 7th International Forum on
Conference_Location
Tomsk
Print_ISBN
978-1-4673-1772-6
Type
conf
DOI
10.1109/IFOST.2012.6357619
Filename
6357619
Link To Document