利用神经网络提取图像中物体的特征，作为模式分类的预处理阶段

Proceedings of the 1992 South African Symposium on Communications and Signal Processing Pub Date : 1992-09-11 DOI:10.1109/COMSIG.1992.274277

F. Hoare, G. de Jager

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引用次数: 1

摘要

研究了利用神经网络实现图像中不同物体特征的提取。特别是描述了神经网络的自组织映射类型，并展示了如何将其用于特征提取。

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Neural networks for extracting features of objects in images as a pre-processing stage to pattern classification

The use of neural networks to implement the extraction of features of different objects in an image is investigated. In particular the self-organising map type of neural network is described and it is shown how this can be used for feature extraction.<>

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Proceedings of the 1992 South African Symposium on Communications and Signal Processing

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