灰度图像重要特征的提取与定位:在CNN上的实现

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) Pub Date : 1994-12-18 DOI:10.1109/CNNA.1994.381678

N. Aizenberg, I. Aizenberg, T. Belikova

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引用次数: 7

摘要

考虑了原始线性滤波算法在细胞神经网络(CNN)上的实现。结果表明，该算法为复杂背景下灰度图像重要特征的提取和定位奠定了良好的基础。

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Extraction and localization of important features an gray-scale images: implementation on the CNN

The implementation on a CNN (cellular neural network) of original algorithms for linear filtering is considered. It is shown that such algorithms are a good base for extraction and localization of important features an gray-scale images against the complex image background.<>

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Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)

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