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Edge detection of pulp fibre image based on directional wavelet transform

机译:基于方向小波变换的纸浆纤维图像边缘检测

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In order to process the pulp fiber image more effectively, according to its characteristics, a novel type directional wavelet transform is applied. In this paper, the relationship and differences between traditional and directional wavelet transforms are shown. Our analysis shows that directional wavelet transform can better reflect the edge information of images because it better corresponds to the characteristics of image direction and texture. The experiment proves that the directional characterizations of the fibre image can be extracted effectively.
机译:为了更有效地处理纸浆纤维图像,根据其特性,应用了新型的方向小波变换。在本文中,显示了传统小波变换和定向小波变换之间的关系和区别。我们的分析表明,方向小波变换可以更好地反映图像的边缘信息,因为它更好地对应了图像方向和纹理的特征。实验证明,可以有效地提取纤维图像的方向特征。

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