COMPUTERIZED STATION FOR SEMI-AUTOMATED TESTING IMAGE INTENSIFIER TUBES

被引：0
|
作者：
Chrzanowski, Krzysztof [1 ,2 ]
机构：
[1] Mil Univ Technol, Inst Optoelect, PL-00908 Warsaw, Poland
[2] INFRAMET, PL-05082 Stare Babice, Poland
来源：
METROLOGY AND MEASUREMENT SYSTEMS | 2015年 / 22卷 / 03期
关键词：
image intensifiers; night vision; metrology;
D O I：
10.1515/mms-2015-0030
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
Testing of image intensifier tubes is still done using mostly manual methods due to a series of both technical and legal problems with test automation. Computerized stations for semi-automated testing of IITs are considered as novelty and are under continuous improvements. This paper presents a novel test station that enables semi-automated measurement of image intensifier tubes. Wide test capabilities and advanced design solutions rise the developed test station significantly above the current level of night vision metrology.
引用
收藏
页码：371 / 382
页数：12
相关论文
共 50 条
  • [41] LASER NEPHELOMETRIC SEMI-AUTOMATED SYSTEM FOR RAPID BACTERIAL SUSCEPTIBILITY TESTING
    GUINET, RMF
    MAZOYER, MA
    JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 1983, 12 (03) : 257 - 263
  • [42] 2 SPECTROGRAPHS FOR USE WITH IMAGE INTENSIFIER TUBES
    SHARPLESS, RL
    YOUNG, RA
    REVIEW OF SCIENTIFIC INSTRUMENTS, 1970, 41 (11): : 1628 - +
  • [43] INTEGRATED HELMET SYSTEM WITH IMAGE INTENSIFIER TUBES
    SCHREYER, H
    BOHM, HDV
    SVEDEVALL, B
    DISPLAYS, 1994, 15 (02) : 98 - 105
  • [44] COMPARISON OF THE LIGHT OUTPUT OF IMAGE INTENSIFIER TUBES
    HENNY, GC
    BECKER, JA
    RADIOLOGY, 1961, 77 (03) : 472 - 479
  • [45] A Semi-Automated Image Analysis Procedure for In Situ Plankton Imaging Systems
    Bi, Hongsheng
    Guo, Zhenhua
    Benfield, Mark C.
    Fan, Chunlei
    Ford, Michael
    Shahrestani, Suzan
    Sieracki, Jeffery M.
    PLOS ONE, 2015, 10 (05):
  • [46] Variational approach to semi-automated 2D image segmentation
    Kukal, Jaromir
    Krbcova, Zuzana
    Nachtigalova, Iva
    Svihlik, Jan
    Fliegel, Karel
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XLII, 2019, 11137
  • [47] An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
    Roels, Joris
    Vernaillen, Frank
    Kremer, Anna
    Goncalves, Amanda
    Aelterman, Jan
    Luong, Hiep Q.
    Goossens, Bart
    Philips, Wilfried
    Lippens, Saskia
    Saeys, Yvan
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [48] Semi-automated CT Image Segmentation Provides Accurate LBM Measurements
    Devriese, J.
    Beels, L.
    Maes, A.
    Van de Wiele, C.
    Pottel, H.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2016, 43 : S516 - S516
  • [49] Semi-automated measurement of motility of human subgingival microflora by image analysis
    Ojima, M
    Tamagawa, H
    Hayashi, N
    Hanioka, T
    Shizukuishi, S
    JOURNAL OF CLINICAL PERIODONTOLOGY, 1998, 25 (08) : 612 - 616
  • [50] A SEMI-AUTOMATED DETERMINATION OF PHOSPHOLIPIDS
    KRAML, M
    CLINICA CHIMICA ACTA, 1966, 13 (04) : 442 - &
12345