LIGHT-ADAPTIVE ARCHITECTURES FOR REGULARIZATION VISION CHIPS

被引：17
作者：
KOBAYASHI, H
MATSUMOTO, T
YAGI, T
TANAKA, K
机构：
[1] WASEDA UNIV, TOKYO 160, JAPAN
[2] KYUSHU INST TECHNOL, KITAKYUSHU 804, JAPAN
来源：
NEURAL NETWORKS | 1995年 / 8卷 / 01期
关键词：
REGULARIZATION; VISION CHIP; IMAGE PROCESSING; ADAPTATION; ANALOG CMOS; RETINA;
D O I：
10.1016/0893-6080(94)00058-T
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Light-adaptive algorithms/architectures are proposed for regularization vision chips. The adaptation mechanisms allow the regularization parameters to change in an adaptive manner in accordance with the light intensity of given images. This is achieved by adaptively changing the conductance values associated with massively parallel resistive networks. The algorithms/architectures are inspired by the adaptation mechanisms of the horizontal cells in the lower vertebrate retina.
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收藏
页码：87 / 101
页数：15
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