Test results for a 32x32 PCNN array

被引：0
|
作者：
Johnson, JL [1 ]
Sims, SRF [1 ]
Branch, TW [1 ]
机构：
[1] USA, Aviat & Missile Command, Missile Res Dev & Engn Ctr, Redstone Arsenal, AL 35898 USA
来源：
NINTH WORKSHOP ON VIRTUAL INTELLIGENCE/DYNAMIC NEURAL NETWORKS: ACADEMIC/INDUSTRIAL/NASA/DEFENSE TECHNICAL INTERCHANGE AND TUTORIALS | 1999年 / 3728卷
关键词：
D O I：
10.1117/12.343036
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Pulse coupled neural network (PCNN) algorithms for image preprocessing have minimal requirements for interconnects and essentially no memory requirements. They are an effective technique for rapid intensity segmentation and noise smoothing as an initial step in many image processing algorithms. A test array with 32x32 active PCNN pixels has been undergoing initial evaluation. Its performance is discussed and comparison with software versions of the PCNN algorithm is given.
引用
收藏
页码：182 / 185
页数：4
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