Matched Filtering of Small-Sized Objects in Images Containing Constant Spatial Interference

被引：0
|
作者：
Gromilin, G. I. [1 ]
Kosykh, V. P. [1 ]
Yakovenko, N. S. [1 ]
机构：
[1] Russian Acad Sci, Inst Automat & Electrometry, Siberian Branch, Novosibirsk 630090, Russia
来源：
OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING | 2020年 / 56卷 / 04期
关键词：
matrix photodetector; spatial inhomogeneity of photoelectric characteristics; detection of small-sized objects; detection reliability; NONUNIFORMITY CORRECTION ALGORITHM;
D O I：
10.3103/S8756699020040068
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The influence of spatial inhomogeneity of the photoelectric characteristics of a matrix photodetector (PDD) on the quality of detection of small-sized objects in the image formed by it is considered. It is shown that in the conditions of spatially inhomogeneous natural noise of the PDD, the traditionally applied two-point correction is not optimal for subsequent matched image filtering performed in order to increase the reliability of object detection. A two-stage algorithm for constructing a linear spatially invariant matched filter is proposed, which provides a significant increase in the reliability of detecting weak small-sized objects against the background of uncorrelated noise in images containing interference due to the spatial heterogeneity of the PDD characteristics.
引用
收藏
页码：440 / 447
页数：8
相关论文
共 50 条
  • [1] Matched Filtering of Small-Sized Objects in Images Containing Constant Spatial Interference
    G. I. Gromilin
    V. P. Kosykh
    N. S. Yakovenko
    Optoelectronics, Instrumentation and Data Processing, 2020, 56 : 440 - 447
  • [2] Filtering of images of small-sized objects in systems with circular microscaning
    Shakenov A.K.
    Budeyev D.E.
    Shakenov, A.K. (adil.shakenov@ngs.ru), 1600, Allerton Press Incorporation (53): : 408 - 413
  • [3] Tracking of small-sized air objects
    Filatov, V., I
    Popov, A. M.
    Valiyev, R. M.
    Sidorov, D. E.
    INTERNATIONAL CONFERENCE ON MODERN TRENDS IN MANUFACTURING TECHNOLOGIES AND EQUIPMENT (ICMTMTE) 2020, 2020, 971
  • [4] A Statistical Method of Recognizing Small-Sized Images of Three-Dimensional Objects
    Kochetkov, Mikhail
    Bukin, Yuri
    Chernovolenko, Alina
    PROCEEDINGS OF THE 2018 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS), 2018, : 1525 - 1528
  • [5] Filtering, detection and localization of small-sized objects obtained in round subpixel image scanning
    Kasperovich, A.N.
    2002, Izdatel'stvo SO RAN
  • [6] The formation of autocorrelation recall of small-sized objects
    Dominikov, MM
    Strinadko, MT
    Timochko, BM
    FIFTH INTERNATIONAL CONFERENCE ON CORRELATION OPTICS, 2001, 4607 : 217 - 219
  • [7] COMPACTING OF IMAGES OF PERIODIC OBJECTS BY AMPLITUDE-MATCHED SPATIAL-FILTERING
    KALESTYNSKI, A
    OPTICA APPLICATA, 1977, 7 (03) : 107 - 110
  • [8] Improving the accuracy of GPS compass for small-sized objects
    Emel’yantsev G.I.
    Stepanov A.P.
    Blazhnov B.A.
    Semenov I.V.
    Gyroscopy and Navigation, 2015, 6 (3) : 166 - 171
  • [9] Achievement of Carrying Objects by Small-Sized Humanoid Robot
    Nakagawa, Hiroyuki
    Nakatsu, Ryohei
    ENTERTAINMENT COMPUTING - ICEC 2008, 2008, 5309 : 106 - +
  • [10] Automatic Histogram-based Contrast Enhancement for Low-contrast Images with Small-sized Objects
    Yelmanova, Elena S.
    Romanyshyn, Yuriy M.
    2017 IEEE FIRST UKRAINE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (UKRCON), 2017, : 965 - 970
12345