Medical Image Segmentation Method Based on Texture Character and GRBF Network
- VernacularTitle:基于纹理特征和GRBF网络的医学图像分割
- Author:
Na WEI
;
Xiangdong LI
;
Dianzhong HUANG
;
Zheng WANG
- Publication Type:Journal Article
- Keywords:
gray level co-occurrence matrix;
texture character;
generalized radial basis function neural networks;
image segmentation
- From:
Chinese Medical Equipment Journal
2003;0(11):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To get a better medical image segmentation result by studing a new image segmentation method. Methods Medical images were segmented using image segmentation method based on texture character and generalized radial basis function neural networks. The texture character parameters were obtained according to gray level co-occurrence matrix. The parameters were input to the generalized radial basis function neural networks to train the network. Results Comparatively, perfect binary images were obtained by using this new image segmentation method. Conclusion The emulational results show that the method is an effective medical image segmentation method.
