A Gaussian derivative-based transform
A Gaussian derivative-based transform
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DOI：
10.1109/83.491330
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发表时间：
1996-03
期刊：
影响因子：
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通讯作者：
J. Bloom;T. Reed
中科院分区：
文献类型：
--
作者：
J. Bloom;T. Reed
本文描述了一种新的图像变换，它使用一组高斯导数分解图像。基础功能本身已被证明可以有效地模拟哺乳动物视觉皮层中简单细胞的感受野。基于这些功能，可以预期，这种变换可以提供一种机制，用于在图像处理算法中利用人类视觉系统的属性。
The article describes a new image transform that decomposes an image using a set of Gaussian derivatives. The basis functions themselves have been shown to effectively model the measured receptive fields of simple cells in the mammalian visual cortex. Based on these functions, it can be expected that this transform can provide a mechanism for exploiting the properties of the human visual system in image processing algorithms.