| 基于底层纹理特征的图像检索 |
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| 作者姓名： | 宋卫华 |
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| 作者单位： | 黄山学院机电与信息工程学院,安徽黄山245021 |
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| 基金项目： | 黄山学院科研基金资助项目（2014xkj004）; 安徽省大学生创新训练基金资助项目（AH201310375057） |
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| 摘 要： | 讨论了统计法中的灰度共现矩阵法和频谱法中的小波变换法来提取图像底层纹理特征,并对此进行了比较和分析,实验表明,基于小波变换的纹理特征提取方法可以有效描述图像底层纹理并取得较好检索结果。
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| 关 键 词： | 灰度共现矩阵 小波变换 纹理特征 图像检索 |
Image retrieval based on low-level texture teatures |
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| Authors: | SONG Wei-hua |
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| Affiliation: | SONG Wei-hua (School of Mechanical Electronic g Information Engineering, Huangshan University, Huangshan 245021, China) |
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| Abstract: | Methods for extracting low-level texture features such as gray level co-occurrence matrix based on statistics and wavelet transform based on frequency spectrum are analyzed and compared. The results show that the texture feature extraction method based on wavelet transform can be used more effectively to describe image low-level texture and achieve better retrieval results. |
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| Keywords: | gray level co-occurrence matrix wavelet transform texture features image retrieval |
| 本文献已被 CNKI 维普 等数据库收录！ |
