Title :
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
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;
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
DOI :
10.1109/NAECON.1994.332958
