节点文献
基于灰度共生矩阵的纹理图像分类研究
A Study on Texture Image Classifying Based on Gray-level Co-occurrence Matrix
【摘要】 对纹理图像的特征提取及分析在现实中有广泛的应用价值。本文通过对灰度共生矩阵的介绍,提出一种基于灰度共生矩阵提取纹理图像特征,并用神经网络进行分类器设计的方法。仿真结果显示,有较好的分类效果。
【Abstract】 The feature extraction and analysis of texture image have broad applying value in the practice, by introducing gray-level co-occurrence matrix, the paper put forward a method which extracts the feature of texture image based on gray-level co-occurrence matrix and designs classifier with neural network. There is a good effect by simulating.
【关键词】 纹理图像;
灰度共生矩阵;
神经网络;
【Key words】 texture image; gray-level co-occurrence matrix; neural network.;
【Key words】 texture image; gray-level co-occurrence matrix; neural network.;
- 【文献出处】 林业机械与木工设备 ,Forestry Machinery & Woodworking Equipment , 编辑部邮箱 ,2005年07期
- 【分类号】S781.1
- 【被引频次】154
- 【下载频次】1856