| 基于小波包和分形相结合的纹理分类 |
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| 引用本文： | 杨敏,杨峰,刘臻,郭韡,郑岚.基于小波包和分形相结合的纹理分类[J].现代电子技术,2008,31(9):161-162. |
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| 作者姓名： | 杨敏 杨峰 刘臻 郭韡 郑岚 |
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| 作者单位： | 1. 中国矿业大学(北京)机电学院,北京,100083
2. 山东联通枣庄总公司,山东,枣庄,277000 |
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| 摘 要： | 纹理是图像内容的重要特征之一,纹理图像分类中最重要的步骤是纹理特征的提取。纹理图像利用空间-频率域分析法时,纹理特征主要集中在中、高频段,纹理图像边缘包含着丰富的纹理特征信息。利用小波包和分形相结合的方法提取纹理特征值进行纹理图像分类,实验结果表明此算法是合理有效的,纹理分类的正确识别率较高。
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| 关 键 词： | 纹理特征提取 小波包 分形 纹理分类 |
| 文章编号： | 1004-373X(2008)09-161-02 |
| 修稿时间： | 2007年10月24 |
Classification of Texture Based on Wavelet Package and Fractal |
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| YANG Min,YANG Feng,LIU Zhen,GUO Wei,ZHENG Lan.Classification of Texture Based on Wavelet Package and Fractal[J].Modern Electronic Technique,2008,31(9):161-162. |
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| Authors: | YANG Min YANG Feng LIU Zhen GUO Wei ZHENG Lan |
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| Abstract: | Extracting texture features is the most important measure,the texture image uses space-frequency domain analysis method,feature of texture is mainly in middle and high frequency band.Texture image is classified by combining wavelet package with fractal and extracting texture features.Experiments prove this algorithm to be true and effective,the algorithm improves the ratio of correctly classify texture. |
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| Keywords: | feature extraction of texture wavelet package fractal classification of texture |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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