基于模糊Kohonen聚类网络的特征保持滤波器在脉冲噪声检测中的应用

Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239) Pub Date : 2001-08-19 DOI:10.1109/TENCON.2001.949627

K. Singh, P. Bora, A. Mahanta

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引用次数: 2

摘要

建议只对损坏的图像像素进行过滤，而不触及未损坏的像素，以保留图像特征并避免模糊效果。提出了一种检测纹理图像中损坏像素的算法。它采用模糊Kohonen聚类网络，该网络结合模糊c均值(FCM)模型，利用前者的更新策略和后者的学习率。

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Features preserving filters using fuzzy Kohonen clustering network in detection of impulse noise

It is always advisable to apply filtering only on corrupted pixels of images leaving untouched the uncorrupted ones to preserve image features and to avoid blurring effects. We present an algorithm which can detect the corrupted pixels in texture images. It uses a fuzzy Kohonen clustering network that integrates with the fuzzy c-means (FCM) model utilizing the updating strategies of the first and the learning rate of the second.

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Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239)

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