PARALLEL IMPLEMENTATION OF ASSOCIATIVE MEMORIES FOR IMAGE CLASSIFICATION

被引：4

作者：

PAGANO, F

PARODI, G

ZUNINO, R

机构：

[1] Dept. of Biophysical and Electronic Engineering (DIBE), University of Genoa, 16145 Genova, Via all'Opera Pia

来源：

PARALLEL COMPUTING | 1993年 / 19卷 / 06期

关键词：

ASSOCIATIVE MEMORY; TRANSPUTER NETWORK; REAL-TIME ASSOCIATIVE VISUAL SYSTEMS; PARALLEL IMPLEMENTATION; EXPERIMENTAL RESULTS;

D O I：

10.1016/0167-8191(93)90014-C

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Associative techniques are useful in computer vision because they are notably able to robustify a recognition system. The noise-like coding model of associative memory has been already applied successfully to image-classification. This paper describes the implementation of the associative system on transputer-based architectures. After explaining the model's basic formalism, the paper marks out the key-generation mechanism, the data-mapping strategy, and the hierarchical processor organization. The basic result of this research is a general methodology for efficient HW configuration of real-time associative visual systems. The system's efficiency can be predicted by theoretical derivations, in which both the FFT-computation speed and the data-transmission speed play a crucial role. Experimental results including different HW configuration and different image-sizes always confirmed theoretical expectations.

引用

页码：667 / 684

页数：18

共 31 条

[1] HOLOGRAPHIC ASPECTS OF TEMPORAL MEMORY AND OPTOMOTOR RESPONSES [J].