现代电子技术2012，Vol.35Issue(10)：64-67,4.
基于Gabor小波的频域快速纹理特征提取
Gabor wavelet based fast extraction of texture features in frequency domain
李秀秀 1陈露 1林怡茂1
作者信息
- 1. 华南师范大学物理与电信工程学院,广东广州 510006
- 折叠
摘要
Abstract
For the shortcoming of high computing-intension and time-consuming of the convolution in the popular strategy of Gabor wavelet based feature extraction, an approach which can reduce the computing time and speed up the feature extraction is presented. With the space convolution replaced by frequency-domain product, the sub-band energy of Gabor magnitude taken as texture features of the original image is directly calculated in the frequency domain. In the experiments of the latter* the features calculated by Gabor wavelet transform were used in texture classification. The results show that, in the case of ensuring the recognition rate, the approach can significantly improve the recognition speed and has better real-time operation.关键词
Gabor小波/频域滤波/特征提取/子带能量/纹理分类Key words
Gabor wavelet/ frequency domain filtering/ feature extraction/ sub-band energy/ texture classification分类
信息技术与安全科学引用本文复制引用
李秀秀,陈露,林怡茂..基于Gabor小波的频域快速纹理特征提取[J].现代电子技术,2012,35(10):64-67,4.
