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Simulation Research of Applying Two-dimensional Empirical Mode Decomposition on Image Feature Extraction

机译:二维经验模态分解在图像特征提取中的仿真研究

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摘要

The edge feature extraction of image is one of the research fields of image processing theory and application. The traditional methods of image feature extraction are simple and proficient, but the accurate performance of the feature extracted is not even higher. As such, a new method for extracting image edge feature was proposed by using the two-dimensional Empirical Mode Decomposition (2-D EMD) and Riesz Transform. Firstly, the image was decomposed to multi-level Intrinsic) Mode Function (IMF) by 2-D EMD, and then the Riesz Transform with stronger local preserving ability was used for analyzing their local properties instead of the Hilbert Transform, by which the edge feature extraction with higher resolution was carried on. Finally, simulation shows that the proposed method is feasible and valid.
机译:图像的边缘特征提取是图像处理理论和应用的研究领域之一。传统的图像特征提取方法简单,精通,但提取的特征的准确度却更高。因此,提出了一种利用二维经验模态分解(2-D EMD)和Riesz变换提取图像边缘特征的新方法。首先将图像通过二维EMD分解为多级本征模式函数(IMF),然后使用具有较强局部保留能力的Riesz变换代替Hilbert变换来分析其局部属性,从而将边缘进行了高分辨率的特征提取。仿真结果表明,该方法是可行和有效的。

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