Architecture of an image processing system optimized for neural network

被引：0
|
作者：
Takatori, Sunao [1 ]
Kumagai, Ryohei [1 ]
Yamamoto, Makoto [1 ]
机构：
[1] EZEL Inc, Japan
来源：
Neural Networks | 1988年 / 1卷 / 1 SUPPL期
关键词：
Systems Science and Cybernetics--Neural Nets;
D O I：
10.1016/0893-6080(88)90547-3
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We have developed an image processing system with an architecture similar to that of the biological image processing system. This system compresses visual information, extracts characteristics of an image, and transmitts the compressed information or characteristics to the central processing system or MPU, so that the MPU's process load is greatly decreased compared with the conventional image processing system. Consequently, a super-high-speed, wide-range, general-purpose image processing system is realized.
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