WO2008093029A3 - Methods for the analysis and modelling of an image containing unit elements to be detected, and corresponding system and device - Google Patents

Methods for the analysis and modelling of an image containing unit elements to be detected, and corresponding system and device Download PDF

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Publication number
WO2008093029A3
WO2008093029A3 PCT/FR2007/052570 FR2007052570W WO2008093029A3 WO 2008093029 A3 WO2008093029 A3 WO 2008093029A3 FR 2007052570 W FR2007052570 W FR 2007052570W WO 2008093029 A3 WO2008093029 A3 WO 2008093029A3
Authority
WO
WIPO (PCT)
Prior art keywords
histogram
vertical
outline
horizontal
image
Prior art date
Application number
PCT/FR2007/052570
Other languages
French (fr)
Other versions
WO2008093029A2 (en
Inventor
Julien Ricard
Jerome Royan
Patrick Gioia
Original Assignee
France Telecom
Julien Ricard
Jerome Royan
Patrick Gioia
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 France Telecom, Julien Ricard, Jerome Royan, Patrick Gioia filed Critical France Telecom
Publication of WO2008093029A2 publication Critical patent/WO2008093029A2/en
Publication of WO2008093029A3 publication Critical patent/WO2008093029A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • 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
    • 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
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • 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
    • G06T2207/20048—Transform domain processing
    • G06T2207/20061—Hough 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
    • G06T2207/20068—Projection on vertical or horizontal image axis

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)

Abstract

The invention relates to a method for analysing an image containing unit elements aligned along horizontal and vertical directions, that comprises the steps of: detecting (ai) outlines and obtaining an outline image; calculating (a3) a histogram along a vertical or horizontal direction, representing said outline image, and respectively called vertical outline histogram or horizontal outline histogram; wherein said method is characterised in that it comprises the following additional steps: calculating (a4) a background belonging image from said image containing the unit elements to be detected; calculating (a5) a histogram along a vertical or horizontal direction, representing said background belonging image, and respectively called vertical background histogram or horizontal background histogram; merging (a6) vertical or horizontal background histogram with said vertical outline histogram or said horizontal outline histogram.
PCT/FR2007/052570 2006-12-21 2007-12-19 Methods for the analysis and modelling of an image containing unit elements to be detected, and corresponding system and device WO2008093029A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR0655797 2006-12-21
FR0655797A FR2910674A1 (en) 2006-12-21 2006-12-21 Building's frontage structured image analyzing method, involves merging vertical or horizontal basic histogram with vertical or horizontal contour histogram, in vertical window histogram or horizontal window histogram

Publications (2)

Publication Number Publication Date
WO2008093029A2 WO2008093029A2 (en) 2008-08-07
WO2008093029A3 true WO2008093029A3 (en) 2009-07-23

Family

ID=38516148

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/FR2007/052570 WO2008093029A2 (en) 2006-12-21 2007-12-19 Methods for the analysis and modelling of an image containing unit elements to be detected, and corresponding system and device

Country Status (2)

Country Link
FR (1) FR2910674A1 (en)
WO (1) WO2008093029A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2939915B1 (en) 2008-12-12 2011-01-14 Essilor Int PROCESS FOR PREPARING AN OPHTHALMIC LENS FOR MOUNTING ON A CAMBREE GOGGLE FRAME
CN105354842B (en) * 2015-10-22 2017-12-29 武汉康美华医疗投资管理有限公司 A kind of profile key point registration and identification method based on stability region
CN111597973A (en) * 2020-05-14 2020-08-28 大连工业大学 Method for detecting adulteration of qualified salted sea cucumbers by using machine vision

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
LAYCOCK, R.G. DAY, A.M.: "Automatic techniques for texture mapping in virtual urban environments", COMPUTER GRAPHICS INTERNATIONAL, 2004. PROCEEDINGS, June 2004 (2004-06-01), pages 586 - 589, XP002452902 *
PAVLIDIS T ET AL: "PAGE SEGMENTATION AND CLASSIFICATION", CVGIP GRAPHICAL MODELS AND IMAGE PROCESSING, ACADEMIC PRESS, DULUTH, MA, US, vol. 54, no. 6, 1 November 1992 (1992-11-01), pages 484 - 496, XP000332317, ISSN: 1077-3169 *
R. G. LAYCOCK, A. M. DAY: "Image Registration in a Coarse Three-Dimensional Virtual Environment", COMPUTER GRAPHICS FORUM, vol. 25, no. 1, March 2006 (2006-03-01), pages 69 - 82, XP002452895 *
SUNG CHUN LEE ET AL: "Extraction and integration of window in a 3D building model from ground view images", COMPUTER VISION AND PATTERN RECOGNITION, 2004. CVPR 2004. PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON WASHINGTON, DC, USA 27 JUNE - 2 JULY 2004, PISCATAWAY, NJ, USA,IEEE, vol. 2, 27 June 2004 (2004-06-27), pages 113 - 120, XP010708848, ISBN: 0-7695-2158-4 *

Also Published As

Publication number Publication date
FR2910674A1 (en) 2008-06-27
WO2008093029A2 (en) 2008-08-07

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