通过Land的实验，CNN模型在不同光照条件下识别颜色

1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96) Pub Date : 1996-06-24 DOI:10.1109/CNNA.1996.566514

Á. Zarándy, E. Grawes, T. Roska, F. Werblin, L. Chua

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引用次数: 0

摘要

我们提出了一个在不同光照条件下分离颜色的CNN模型。颜色模型基于Land的假设:单个单色通道被单独处理。但是，我们使用不同的通道处理模型。该模型在蒙德里安的图像上进行了评估。

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CNN model for identifying colors under different illumination conditions via Land's experiments

We present a CNN model for separating colors under different illumination conditions. The color model is based on Land's assumption: the individual monochromatic channels are processed separately. However, we use a different channel processing model. The model was evaluated on a Mondrian image.

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来源期刊

1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)

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