METHOD AND SYSTEM FOR DETECTING SMALL OR THIN OBJECTS ON IMAGES (VERSIONS) Russian patent published in 2015 - IPC G06T7/20 

Abstract RU 2546600 C2

FIELD: physics.

SUBSTANCE: method comprises constructing a full directional mask, constructing an internal directional mask, constructing an external directional mask with the same orientation as the direction orthogonal to the predominant direction of texture, for each pixel and with the same orientation as the direction orthogonal to the predominant direction of texture, for each pixel and with the same orientation as the direction orthogonal to the predominant direction of texture for each pixel, calculating the minima and maxima of brightness values of pixels within the full directional mask and within the internal directional mask, the external directional mask standard deviation from the brightness values of pixels within the full directional mask around the central pixel; calculating standard deviation or another statistical function, describing the degree of variation of samples within a sample, from the brightness values of pixels around the central pixel; calculating standard deviation or another statistical function, describing the degree of variation of samples within the sample, from brightness values of pixels around the central pixel.

EFFECT: higher accuracy of image processing.

41 cl, 33 dwg

Similar patents RU2546600C2

Title Year Author Number
DEVICE FOR DETECTING DEFECTS ON ARCHIVAL PHOTOGRAPHS 2013
  • Marchuk Vladimir Ivanovich
  • Voronin Vjacheslav Vladimirovich
  • Frants Vladimir Aleksandrovich
  • Sherstobitov Aleksandr Ivanovich
  • Gapon Nikolaj Valer'Evich
  • Sizjakin Roman Alekseevich
RU2541920C2
DEVICE FOR RECONSTRUCTING A DEPTH MAP WITH SEARCHING FOR SIMILAR BLOCKS BASED ON A NEURAL NETWORK 2019
  • Gapon Nikolaj Valerevich
  • Voronin Vyacheslav Vladimirovich
  • Sizyakin Roman Alekseevich
  • Zhdanova Marina Mikhajlovna
  • Semenishchev Evgenij Aleksandrovich
  • Balabaeva Oksana Sergeevna
RU2716311C1
METHOD OF ENHANCING DIGITAL IMAGE QUALITY 2006
  • Rychagov Mikhail Nikolaevich
  • Safonov Il'Ja Vladimirovich
  • Tolstaja Ekaterina Vital'Evna
  • Efimov Sergej Vikent'Evich
  • Kang Ki-Min
  • Kim Sang-Kho
RU2400815C2
METHOD AND APPARATUS FOR DETECTING LOCAL FEATURES ON IMAGE 2013
  • Marchuk Vladimir Ivanovich
  • Voronin Vjacheslav Vladimirovich
  • Morozova Tat'Jana Vladimirovna
  • Pis'Menskova Marina Mikhajlovna
RU2535184C2
METHOD AND APPARATUS FOR DETECTING DEFECTS ON VIDEO SIGNALS 2013
  • Marchuk Vladimir Ivanovich
  • Voronin Vjacheslav Vladimirovich
  • Sizjakin Roman Alekseevich
  • Frants Vladimir Aleksandrovich
  • Gapon Nikolaj Valer'Evich
RU2535449C2
DATA PROCESSING FOR SUPER-RESOLUTION 2017
  • Kurilin Ilya Vasilievich
  • Shcherbinin Andrey Yurievich
  • Molchanov Alexander Alexandrovich
  • Milyukov Gleb Sergeevich
  • Lebedev Kirill Victorovich
  • Kurmanov Vladimir Gennadievich
  • Zavalishin Sergey Stanislavovich
  • Glazistov Ivan Victorovich
  • Petrova Xenya Yurievna
RU2652722C1
IMAGE COMPRESSION DEVICE BASED ON PIXEL RECONSTRUCTION METHOD 2020
  • Gapon Nikolai Valerevich
  • Voronin Viacheslav Vladimirovich
  • Siziakin Roman Alekseevich
  • Zhdanova Marina Mikhailovna
  • Semenishchev Evgenii Aleksandrovich
RU2750416C1
METHOD OF ADAPTIVE SMOOTHING TO SUPPRESS SCREEN-TYPE PATTERN OF IMAGES 2008
  • Kurilin Il'Ja Vasil'Evich
  • Safonov Il'Ja Vladimirovich
RU2411584C2
AUTOMATIC CAPTURE OF DOCUMENT WITH GIVEN PROPORTIONS 2013
  • Zagajnov Ivan Germanovich
  • Loginov Vasilij Vasil'Evich
  • Ljubimov Jakov Aleksandrovich
  • Bocharov Konstantin Jur'Evich
RU2541353C2
METHOD OF DETECTING PERIODICAL TEXTURES 2014
  • Gruzman Igor Semenovich
  • Petrova Xenia Yurievna
RU2630744C2

RU 2 546 600 C2

Authors

Petrova Ksenija Jur'Evna

Dates

2015-04-10Published

2013-08-01Filed