Optoelectronic Thresholder for Pattern Recognition with Double Feedback Module

被引:0
|
作者
Rafał Kasztelanic
Juan Campos
Katarzyna Chałasinska-Macukow
机构
[1] Department of Technical Physics and Applied Mathematics,Institute of Physics
[2] Warsaw University of Technology,Group d’Optica, Departmento de Fisica
[3] Universitat Autonoma de Barcelona,Institute of Geophysics
[4] Edifici Cc,undefined
[5] Department of Physics,undefined
[6] Warsaw University,undefined
来源
Optical Review | 1997年 / 4卷
关键词
optoelectronic thresholder; optical neural networks; optical associative memory optical pattern; recognition; winner-take-all;
D O I
暂无
中图分类号
学科分类号
摘要
The present paper proposes a modification of a simple optoelectronic architecture (A. Bergeron et al.: Appl. Opt. 33 (1994) 1463) for carrying out optical thresholding operations. The threshold operation is achieved by means of a feedback loop. The setup is modified by inserting an attenuator adapted in each iteration to the total incident energy measured by an intensity detector. The proposed architecture does not need an additional light source, assures translation invariance and does not break the beam propagation path. The adaptive attenuator permits working under different lighting conditions (illumination, partially occluded objects, etc.). This kind of architecture is suitable for an optical pattern recognition task, optical neural network or optical associative memory. Application of the modified thresholder to the recognition task based on an optical correlator is reported.
引用
收藏
页码:572 / 577
页数:5
相关论文
共 50 条
  • [21] Compact Double Attention Module Embedded CNN for Palmprint Recognition
    Zheng, Yongmin
    Fei, Lunke
    Jia, Wei
    Wen, Jie
    Teng, Shaohua
    Rida, Imad
    ADVANCES IN COMPUTER GRAPHICS, CGI 2021, 2021, 13002 : 264 - 275
  • [22] Reliability of optoelectronic module An Introduction
    Osenbach, John
    2021 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM (IRPS), 2021,
  • [23] Visual pattern recognition network: Its training algorithm and its optoelectronic architecture
    Information Optics Laboratory, Shanghai Inst. Opt. Fine Mechanics, Academia Sinica, P.O. Box 800-211, Shanghai 201800, China
    Appl. Opt., 20 (3868-3873):
  • [24] Pattern recognition applying LDA and LR to optoelectronic signals of optical scanning systems
    Miranda-Vega, V.
    Rivas-Lopez, M.
    Flores-Fuentes, W.
    Sergiyenko, O.
    Lindner, L.
    Rodriguez-Quinonez, J. C.
    REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 2020, 17 (04): : 401 - 411
  • [25] Optoelectronic pattern recognition based on binary phase-only matched filter
    Wang, Peifeng
    Chen, Gaofeng
    Hua, Tiejun
    Wang, Ruli
    Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, 2000, 19 (02): : 117 - 120
  • [26] Dual Nonlinear Correlation in Optical Pattern Recognition (I): Principle and Optoelectronic Implementation
    Chalasinska-Macukow, Katarzyna
    Kotynski, Rafal
    Perez-Cabre, Elisabet
    Millan, Maria S.
    OPTICA PURA Y APLICADA, 2005, 38 (02): : 75 - 83
  • [27] CARDIAC GATING MODULE USING PATTERN-RECOGNITION IN NMR IMAGING
    GERMAIN, P
    BARUTHIO, J
    RUMP, R
    GOUNOT, D
    WECKER, D
    MOSSARD, JM
    SACREZ, A
    CHAMBRON, J
    JOURNAL DE BIOPHYSIQUE ET DE BIOMECANIQUE, 1986, 10 (04): : 147 - 149
  • [28] Visual pattern recognition network: Its training algorithm and its optoelectronic architecture
    Wang, N
    Liu, LR
    APPLIED OPTICS, 1996, 35 (20): : 3868 - 3873
  • [29] Pattern Recognition-Informed Feedback for Nanopore Detector Cheminformatics
    Eren, A. Murat
    Amin, Iftekhar
    Alba, Amanda
    Morales, Eric
    Stoyanov, Alexander
    Winters-Hilt, Stephen
    ADVANCES IN COMPUTATIONAL BIOLOGY, 2010, 680 : 99 - 108
  • [30] MICROCIRCUIT LEARNING NETS - IMPROVED RECOGNITION BY MEANS OF PATTERN FEEDBACK
    ALEKSAND.I
    MAMDANI, EH
    ELECTRONICS LETTERS, 1968, 4 (20) : 425 - &