基于神经网络的纹理和灰度信息融合方法

An Information Integration Method of Texture and Gray Based on Neural Network

文章从信息融合的角度出发，利用神经网络的方法将纹理和灰度信息有机地融合起来，设计并实现了一种基于子区域的区域增长分割算法．并将该方法应用到医学图像的分割问题中，取得了较好的效果．实验表明，该方法针对一类图像能够得到较好的结果．

A segmentation method in which texture and gray variation information is integrated by means of functionlinked neural network is proposed in this paper. Based on this method, a regionbased region growing algorithm is designed and applied to medical image segmentation. The experimental results show that this method can produce good segmentation result when applied to certain images.