| 小波变换及其在影像表示中的应用和其方向选择性算法的改进 |
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| 引用本文： | 邵巨良, 李德仁. 小波变换及其在影像表示中的应用和其方向选择性算法的改进[J]. 武汉大学学报 ( 信息科学版), 1993, 18(2): 1-9. |
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| 作者姓名： | 邵巨良 李德仁 |
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| 摘 要： | 小波理论是研究多分辨率信号处理的理论,目前被公认为有前途的新理论。金字塔结构的影像处理、影像理解,现代GIS处理多比例尺的要求以及地形、场论中的逼近均需有关这一理论的支持。本文利用小波变换分解原始影像以实现影像的小波表示,并发展为任意方向的小波变换、逆变换,利用它检测航片中建筑物及其阴影的公共边缘。这种表示方式可为某些影像特征或识别目标提供较为经济的分辨率,该表示方式使影像中具有一定层次的结构更易于发现和利用。实验结果证明了此方法是有效的。
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| 关 键 词： | 方向性 小波变换 多级分辨率 小波分解 影像小波表示 影像重建 影像信息处理 |
| 收稿时间： | 1992-07-28 |
Wavelet Transform with Its Applications to Image Representation and The Improvement of Algorithm on Orientation Selectivity |
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| Shao Julian, Li Deren. Wavelet Transform with Its Applications to Image Representation and The Improvement of Algorithm on Orientation Selectivity[J]. Geomatics and Information Science of Wuhan University, 1993, 18(2): 1-9. |
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| Authors: | Shao Julian Li Deren |
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| Affiliation: | Shao Julian;Li Deren |
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| Abstract: | The Wavelet theory which concentrates on the multiresolution signal processing is nowdays considered to be such a greaty potential theory. Image Processing with the pyramid structure、image understanding and a modern GIS which should have the multiscale function need this theory to support. This paper proposes a new kind of image representation——Wavelet Representation by using Wavelet Transform,improves Wavelet Transform with an arbitary direction,and employs it to extract the building/shadow edges from the aerial im-ages. This wavelet representation in computer vision and image analysis typically helps in two ways:1)allowing ths most economical resolution to be used for each of several image features or objects to be treated; 2) making certain hierarchical structure in an image more explicit and easier to use. The experimental results illustrate this approach is feasible. |
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| Keywords: | orientation selectivity wavelet transform multiresolution wavelet decomposition wavelet image represencation image representation image information processing |
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