A new neural network model for image segmentation

Author

Liang, Min ; Ma, Qiu-Ming ; Xu, Dong-Guo

Author_Institution

Center for Studying & Training of Med. Apparatus, Hunan Med. Univ., Changsha, China

fYear

1994

fDate

23-27 May 1994

Firstpage

791

Abstract

In this paper, the problem of image segmentation using artificial neural network ( ANN) is discussed. A new ANN model for image segmentation is proposed which consists of two sub-networks in cascade, i.e. the master sub-network (MSN) and the auxiliary sub-network (ASN). The dynamics of this model is studied in details and the corresponding algorithm is described in the paper. Finally, the simulations are carried out for the medical image using the moment-preserving thresholding and the proposed ANN model, and the corresponding results indicate that the image segmented by the proposed ANN model is much better than that obtained by the moment-preserving thresholding

Keywords

cascade networks; digital simulation; image segmentation; medical image processing; neural nets; artificial neural network; auxiliary subnetwork; cascade; dynamics; image segmentation; master subnetwork; medical image; moment-preserving thresholding; neural network model; subnetworks; Artificial neural networks; Biomedical imaging; Image analysis; Image processing; Image segmentation; Labeling; Medical simulation; Neural networks; Neurons; Tin;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-1893-5

Type

conf

DOI

10.1109/NAECON.1994.332958

Filename

332958