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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >IMAGE SMOOTHING AND EDGE DETECTION BY HERMITE INTEGRATION
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IMAGE SMOOTHING AND EDGE DETECTION BY HERMITE INTEGRATION

机译:赫米特集成的图像平滑和边缘检测

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摘要

In the present paper, we propose Hermite polynomial integration method for Gaussian and Gaussian derivatives filtering in image smoothing and edge detection. Hermite integration method for one dimensional (1D) Gaussian filtering is at first introduced, and its performance is analysed. The Hermite method is then generalized to Gaussian-derivative filtering and to multi-dimensional cases. Application for edge detection with a subpixel precision is presented as well. Experimental results, which confirm the theoretical analysis, are reported. [References: 21]
机译:在本文中,我们提出了用于高斯和高斯导数滤波的Hermite多项式积分方法,用于图像平滑和边缘检测。首先介绍了用于一维高斯滤波的Hermite积分方法,并对其性能进行了分析。然后将Hermite方法推广到高斯微分滤波和多维情况。还提出了具有亚像素精度的边缘检测的应用。报告了证实理论分析的实验结果。 [参考:21]

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