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| 基于多特征提取和SVM分类器的纹理图像分类 | |
| 引用本文： | 唐银凤,黄志明,黄荣娟,姜佳欣,卢昕. 基于多特征提取和SVM分类器的纹理图像分类[J]. 计算机应用与软件, 2011, 28(6): 22-25,46 |
| 作者姓名： | 唐银凤 黄志明 黄荣娟 姜佳欣 卢昕 |
| 作者单位： | 1. 武汉大学电子信息学院,湖北武汉,430000 2. 武汉大学国际软件学院,湖北武汉,430000 3. 武汉大学电子信息工程学院信号处理实验室,湖北武汉,430000 |
| 基金项目： | 国家自然科学基金项目(60872131) |
| 摘 要： | 能够从大量高分辨率遥感图像中识别出各种感兴趣的目标并进行归类,是一种具有广泛应用前景的技术需求.实验以MATLAB为平台,应用Gabor滤波器、高斯马尔柯夫随机场(GMRF)和灰度共生矩阵(GLCM)三种纹理图像特征提取算法对当前广泛应用于纹理图像分类的样本集brodatz光学数据库图像进行特征提取;然后在二分类支持向... |
| 关 键 词： | 纹理 分类 特征提取 支持向量机 查找表 |
TEXTURE IMAGE CLASSIFICATION BASED ON MULTI-FEATURE EXTRACTION AND SVM CLASSIFIER |
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| Tang Yinfeng,Huang Zhiming,Huang Rongjuan,Jiang Jiaxin,Lu Xin. TEXTURE IMAGE CLASSIFICATION BASED ON MULTI-FEATURE EXTRACTION AND SVM CLASSIFIER[J]. Computer Applications and Software, 2011, 28(6): 22-25,46 | |
| Authors: | Tang Yinfeng Huang Zhiming Huang Rongjuan Jiang Jiaxin Lu Xin |
| Affiliation: | Tang Yinfeng1 Huang Zhiming2 Huang Rongjuan1 Jiang Jiaxin1 Lu Xin31(School of Electronic Information,Wuhan University,Wuhan 430000,Hubei,China)2(School of International Software,China)3(Signal Processing Lab,School of Electronic Information Engineering,China) |
| Abstract: | It is the ability to identify and classify various objects that worth interest from mass high resolution remote sensing images that is a kind of technical requirement appealing for broad applicational prospects.The experiment takes Matlab as the experimental platform,and applies three image texture feature extraction algorithms,respectively,Gabor filter,Gauss-Markov random field model(GMRF) and the gray level co-occurrence matrix(GLCM) to extract features from Brodatz optical database images which is a popu... |
| Keywords: | Texture Classification Feature extraction SVM Look-up table |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |