| 摘要: |
| 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. |
| 关键词: 图像分割,信息融合,神经网络,医学图像. |
| DOI： |
| 分类号: |
| 基金项目:本文研究得到国家自然科学基金和国家863高科技项目基金资助. |
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| An Information Integration Method of Texture and Gray Based on Neural Network |
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LIU Ning-ning,TIAN Jie,HU Zhi-gang,ZHU-GE Ying
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| Abstract: |
| A segmentation method in which texture and gray variation information is integrated by means of function-linked neural network is proposed in this paper. Based on this method, a region-based 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. |
| Key words: Image segmentation, information integration, neural network, medical image. |
