| 基于四元数小波变换及多分形特征的纹理分类 |
| |
| 引用本文： | 高直,朱志浩,徐永红,洪文学.基于四元数小波变换及多分形特征的纹理分类[J].计算机应用,2012,32(3):773-776. |
| |
| 作者姓名： | 高直 朱志浩 徐永红 洪文学 |
| |
| 作者单位： | 1.燕山大学 电气工程学院,河北 秦皇岛 066004;
2.秦皇岛天业通联重工股份有限公司, 河北 秦皇岛 066004 |
| |
| 摘 要： | 将四元数小波变换(QWT)和多分形相结合进行纹理分类,充分利用了QWT的旋转不变特性和纹理图像的多分形特性,能弥补传统的应用小波变换进行纹理分类时缺乏将输入图像分解成多个方向的不足。通过对UIUC数据库中的纹理图像分类,表明四元数小波与多分形相结合的方法具有较高的分类精度,平均分类正确率可达96.69%,是一种合理有效的纹理分类方法。
|
| 关 键 词： | 四元数小波变换 多分形 纹理分类 机器视觉 纹理图像 |
| 收稿时间： | 2011-09-08 |
| 修稿时间： | 2011-12-02 |
Texture classification based on quaternion wavelet transform and multifractal characteristics |
| |
| GAO Zhi
,
ZHU Zhi-hao
,
XU Yong-hong
,
HONG Wen-xue.Texture classification based on quaternion wavelet transform and multifractal characteristics[J].journal of Computer Applications,2012,32(3):773-776. |
| |
| Authors: | GAO Zhi ZHU Zhi-hao XU Yong-hong HONG Wen-xue |
| |
| Affiliation: | 1.Institute of Electrical Engineering, Yanshan University, Qinhuangdao Hebei 066004, China;
2.Qinhuangdao Tianye Tolian Heavy Industry Company Limited, Qinhuangdao Hebei 066004, China |
| |
| Abstract: | The paper incorporated the multifractal analysis method into the idea of Quaternion Wavelet Transform(QWT),which took advantage of the rotation-invariant properties and multifractal properties of texture image,and could make up for the lacks of ability to decompose input image into multiple orientation in texture classification when using wavelet transform.The experiment of texture classification using the images from UIUC shows the method has higher classification accuracy and the average correct classification rate is 96.69%.It proves this texture classification method is reasonable and effective. |
| |
| Keywords: | Quaternion Wavelet Transform(QWT) multifractal texture classification machine vision texture image |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
|
