空间灰度相关在影像纹理分类中的应用及分析

基金项目: 国家自然科学基金资助项目。

详细信息

On the Application of Spatial Gray Level Dependence Method in Image Texture Classification

School of Geo-science and Surveying Engineering, WTUSM. 39 Luoyu Road, Wuhan, China, 430070

摘要: 介绍了空间灰度相关法的11个纹理特征。试验表明,仅3个是描述性强的纹理特征。通过用t检验法来分类纹理,发现该方法具有良好的"去伪"特性,可辅助其它纹理分类。
- 空间灰度相关 /
- 影像纹理分类 /
- 纹理特征
Abstract: After calculating and analysing eleven kinds of value of texture feature,this paper presents that three of them are most effective.Using t-method to test these three kinds of texture feature values,we found spatial gray level dependence methods has little mistake in decision.So we could use this characteristics to help other method in making accuracy decision.
- spatial gray level dependence method /
- image texture classification /
- texture feature