用于数字图像预处理的二维平滑模板

[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society Pub Date : 1990-11-27 DOI:10.1109/IECON.1990.149146

Hai-An Zhu, Nanning Zheng, Xiaotian Zhang

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引用次数: 0

摘要

应用最小二乘估计和非线性函数拟合理论解决图像处理中的数据平滑问题。在此基础上，得到了一种具有可变掩码大小的空间域模板。它可以在平滑的同时保留数字图像中的重要信息。实验结果和详细的案例研究表明，该模板比常用的滤波掩模具有优势。结果图像的质量非常好，即使在强烈的噪声破坏条件下。

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A two-dimensional smoothing template for digital image preprocessing

The theories of least-squares estimation and nonlinear function fitting are applied to solve the problem of data smoothing in image processing. Based on the derived algorithm, a novel spatial-domain template with variable mask size is obtained. It can preserve the important information in digital images as it smooths. Experimental results and detailed case studies have shown that the derived template has advantages over the commonly adopted filtering masks. The quality of the resulting images is very good, even under strongly noise-corrupted conditions.<>

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来源期刊

[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society

CiteScore

1.40

自引率

0.00%

发文量