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Edge detection based on object tree image representation and wavelet transform

机译:基于目标树图像表示和小波变换的边缘检测

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摘要

In applications such as image retrieval and recognition, precise edge detection for interested regions plays a decisive role. Existing methods generally take little care about local characteristics, or become time-consuming if every detail is considered. In the paper, a new method is put forward based on the combination of effective image representation and multiscale wavelet analysis. A new object tree image representation is introduced. Then a series of object trees are constructed based on wavelet transform modulus maxima at different scales in descending order. Computation is only needed for interested regions. Implementation steps are also given with an illustrative example.
机译:在图像检索和识别等应用中,对感兴趣区域的精确边缘检测起着决定性的作用。现有方法通常很少关注局部特征,或者如果考虑到每个细节都变得很耗时。提出了一种基于有效图像表示和多尺度小波分析相结合的新方法。引入了新的对象树图像表示。然后基于小波变换模极大值在不同尺度上以降序构造一系列目标树。只有感兴趣的地区才需要计算。还以说明性示例给出了实现步骤。

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