The RGF pandemonium: A low-level representational model for images

被引：3

作者：

Rodriguez-Sanchez, R

Garcia, JA ^{[1
]}

Fdez-Valdivia, J

机构：

[1] Univ Granada, Dept Ciencias Computac & IA, ETS Ingn Informat, E-18071 Granada, Spain

[2] Univ Jaen, Escuela Politecn Super, Dept Informat, Jaen 23071, Spain

来源：

PATTERN RECOGNITION | 1998年 / 31卷 / 11期

关键词：

object power discrimination; responding units; object detection; clutter;

D O I：

10.1016/S0031-3203(98)00026-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, we have reformulated the selection of a few responding units tuned to patterns of activity from the Fourier spectrum as a multilayer system composed of four stages of different kinds of feature detectors. The system output is a sparse representation for images that produces an organization according to object power discrimination. The resultant multilayer system provides a more efficient representation for later stages of processing because it possesses a higher degree of perceptual independence among its outputs. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：1797 / 1810

页数：14

共 8 条

[1] A COMPUTATIONAL APPROACH TO EDGE-DETECTION [J].