| 基于小波域的纹理图像分析 |
| |
| 引用本文： | 李凯南. 基于小波域的纹理图像分析[J]. 邵阳学院学报(自然科学版), 2005, 2(3): 36-37 |
| |
| 作者姓名： | 李凯南 |
| |
| 作者单位： | 邵阳学院,信息与电气工程系,湖南,邵阳,422004 |
| |
| 摘 要： | 图像纹理信息丰富，准确地进行纹理特征描述，必须尽可能抓住其本质特征和属性。本文以小波域为分析基础，并结合图像特点，提出在全树状小波分解的基础上建立数学模型，在子图选择上用图像熵作为判据，使分解更有针对性并使计算效率得以提高。
|
| 关 键 词： | 纹理特征提取 树状分解 图像熵 数学模型 |
| 文章编号： | 1672-7010（2005）03-0036-02 |
| 收稿时间： | 2005-03-08 |
| 修稿时间： | 2005-03-08 |
Analysis of texture images on wavelet-domain |
| |
| LI Kai-nan. Analysis of texture images on wavelet-domain[J]. Journal of Shaoyang University(Natural Science Edition), 2005, 2(3): 36-37 |
| |
| Authors: | LI Kai-nan |
| |
| Abstract: | Images have rich texture information, it must grasp the characteristic and the attributes of the image so as to get the texture feature. Bases on the wavelet- domain math model and the characteristic of the remotely sensed images, in this paper,was established the math model based on the tree- structured transform. It uses the entropy as the rule of the transform to make the transform more contrapossition and gets higher efficiency. |
| |
| Keywords: | Texture Feature Extraction Tree-structured Transform Image Entropy Math model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
