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WO2011100964A3 - Method for processing multi-channel image recordings in order to detect hidden objects in the optoelectronic inspection of persons - Google Patents

Method for processing multi-channel image recordings in order to detect hidden objects in the optoelectronic inspection of persons Download PDF

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Publication number
WO2011100964A3
WO2011100964A3 PCT/DE2011/050005 DE2011050005W WO2011100964A3 WO 2011100964 A3 WO2011100964 A3 WO 2011100964A3 DE 2011050005 W DE2011050005 W DE 2011050005W WO 2011100964 A3 WO2011100964 A3 WO 2011100964A3
Authority
WO
WIPO (PCT)
Prior art keywords
image
image data
pyramid
channel
processing multi
Prior art date
Application number
PCT/DE2011/050005
Other languages
German (de)
French (fr)
Other versions
WO2011100964A2 (en
Inventor
Mario RÖSSLER
Thomas Fiksel
Ulf Krause
Original Assignee
Esw Gmbh
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Esw Gmbh filed Critical Esw Gmbh
Publication of WO2011100964A2 publication Critical patent/WO2011100964A2/en
Publication of WO2011100964A3 publication Critical patent/WO2011100964A3/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V8/00—Prospecting or detecting by optical means
    • G01V8/005—Prospecting or detecting by optical means operating with millimetre waves, e.g. measuring the black losey radiation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/253—Fusion techniques of extracted features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
    • H04N23/11—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths for generating image signals from visible and infrared light wavelengths
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10048—Infrared image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20221—Image fusion; Image merging
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30112—Baggage; Luggage; Suitcase

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Signal Processing (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Geophysics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Image Processing (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)

Abstract

The invention relates to a method for processing multi-channel image recordings in order to detect hidden objects in a scene, wherein image data from at least two spectrally different camera systems having overlapping fields of vision are subjected to an image data combination. The aim of finding a new possibility for processing multi-channel image recordings for the optoelectronic inspection of persons that achieves an improvement in the detection of hidden objects without the so-called full-body-scanner effect of the millimeter wave scan appearing is achieved according to the invention in that images are recorded as two-dimensional image data in image channels having different frequency ranges, a mask image is produced from the image data of at least one image channel, wherein the image data are differentiated into at least two classes of pixels, the image data of each image channel are transformed into a Gaussian and Laplacian pyramid and the image data of the mask image are transformed into a mask image pyramid adequate therefor, and the image data of the Laplacian pyramids of the individual image channels are combined with the mask image pyramid at pyramid levels that correspond to each other, and then the Laplacian pyramids from corresponding image points of the same pyramid levels are merged into the resulting Laplacian pyramid on the basis of a comparison criterion.
PCT/DE2011/050005 2010-02-18 2011-02-18 Method for processing multi-channel image recordings in order to detect hidden objects in the optoelectronic inspection of persons WO2011100964A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102010008630.4 2010-02-18
DE102010008630A DE102010008630A1 (en) 2010-02-18 2010-02-18 Method for processing multi-channel image recordings for the detection of hidden objects in opto-electronic person control

Publications (2)

Publication Number Publication Date
WO2011100964A2 WO2011100964A2 (en) 2011-08-25
WO2011100964A3 true WO2011100964A3 (en) 2012-03-29

Family

ID=44317337

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/DE2011/050005 WO2011100964A2 (en) 2010-02-18 2011-02-18 Method for processing multi-channel image recordings in order to detect hidden objects in the optoelectronic inspection of persons

Country Status (2)

Country Link
DE (1) DE102010008630A1 (en)
WO (1) WO2011100964A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
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CN109034210B (en) * 2018-07-04 2021-10-12 国家新闻出版广电总局广播科学研究院 Target detection method based on super-feature fusion and multi-scale pyramid network

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CN102681023B (en) * 2012-04-19 2014-05-07 首都师范大学 Terahertz wave imaging system
CN102681022B (en) * 2012-04-19 2014-05-07 首都师范大学 Terahertz (THz) wave imaging device
CN106353832B (en) * 2016-09-18 2018-08-03 公安部第一研究所 One kind is quickly through formula millimeter wave human body security check system and method
CN110021031B (en) * 2019-03-29 2023-03-10 中广核贝谷科技有限公司 X-ray image enhancement method based on image pyramid
CN110334571B (en) * 2019-04-03 2022-12-20 复旦大学 A privacy protection method for human body in millimeter wave images based on convolutional neural network
CN110348522B (en) * 2019-07-12 2021-12-07 创新奇智(青岛)科技有限公司 Image detection and identification method and system, electronic equipment, and image classification network optimization method and system
CN115065867B (en) * 2022-08-17 2022-11-11 中国科学院空天信息创新研究院 Dynamic processing method and device based on unmanned aerial vehicle video pyramid model
CN119575367A (en) * 2025-01-24 2025-03-07 山东浪潮科学研究院有限公司 A method, device and medium for fusion of camera and radar signals of hidden targets

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Non-Patent Citations (3)

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BURT P J ET AL: "THE LAPLACIAN PYRAMID AS A COMPACT IMAGE CODE", IEEE TRANSACTIONS ON COMMUNICATIONS, IEEE SERVICE CENTER, PISCATAWAY, NJ. USA, vol. COM 31, no. 4, 1 April 1983 (1983-04-01), pages 532 - 540, XP000570701, ISSN: 0090-6778, DOI: 10.1109/TCOM.1983.1095851 *
UBADIKE O C ET AL: "Investigation of image fusion methods for helicopter day, night and all weather operation", INTELLIGENT VEHICLES SYMPOSIUM, 2009 IEEE, IEEE, PISCATAWAY, NJ, USA, 3 June 2009 (2009-06-03), pages 1167 - 1172, XP031490010, ISBN: 978-1-4244-3503-6 *
VARSHNEY P K ET AL: "Registration and Fusion of Infrared and Millimeter Wave Images for Concealed Weapon Detection", IMAGE PROCESSING, 1999. ICIP 99. PROCEEDINGS. 1999 INTERNATIONAL CONFERENCE ON - KOBE, JAPAN 24-28 OCT. 1999, IEEE, PISCATAWAY, NJ, USA, vol. 3, 24 October 1999 (1999-10-24), pages 532 - 536, XP002531109, ISBN: 978-0-7803-5467-8 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109034210B (en) * 2018-07-04 2021-10-12 国家新闻出版广电总局广播科学研究院 Target detection method based on super-feature fusion and multi-scale pyramid network

Also Published As

Publication number Publication date
DE102010008630A1 (en) 2011-08-18
WO2011100964A2 (en) 2011-08-25

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