FR3113432B1 - AUTOMATIC IMAGE CLASSIFICATION PROCESS - Google Patents

AUTOMATIC IMAGE CLASSIFICATION PROCESS Download PDF

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Publication number
FR3113432B1
FR3113432B1 FR2008459A FR2008459A FR3113432B1 FR 3113432 B1 FR3113432 B1 FR 3113432B1 FR 2008459 A FR2008459 A FR 2008459A FR 2008459 A FR2008459 A FR 2008459A FR 3113432 B1 FR3113432 B1 FR 3113432B1
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France
Prior art keywords
image
points
reading
proportion
intensity
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FR2008459A
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French (fr)
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FR3113432A1 (en
Inventor
Thibault Autheman
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Priority to FR2008459A priority Critical patent/FR3113432B1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/176—Urban or other man-made structures
    • 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
    • G06V10/507—Summing image-intensity values; Histogram 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
    • G06V20/188—Vegetation

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

Abstract

Procédé de reconnaissance automatique d’image, permettant une classification d’image, le procédé comprenant : une première étape de lecture de l’image par un curseur de lecture venant recouvrir n points de l’image ; une mesure de l’intensité et du niveau gris pour chacun des n points ; une mesure de l’intensité pour chacune des trois couleurs rouge, vert, bleu en chacun des n points, la somme des valeurs obtenues pour l’ensemble des n points étant comparée à une valeur seuil, la lecture de l’image formant quatre images matricielles ; une identification des polygones fermés avec côtés non sécants ; une détermination de la valeur d’une fonction propositionnelle A, par une évaluation de la proportion P de polygones présentant des côtés rectilignes, l’image étant classée comme représentant un paysage naturel si la proportion P est inférieure à une valeur seuil, pour chacune des trois images matricielles en niveau de gris, en couleur verte, et en couleur rouge.Automatic image recognition method, allowing image classification, the method comprising: a first step of reading the image by a reading cursor covering n points of the image; a measurement of intensity and gray level for each of the n points; a measurement of the intensity for each of the three colors red, green, blue at each of the n points, the sum of the values obtained for all of the n points being compared with a threshold value, the reading of the image forming four images matrix; an identification of closed polygons with non-intersecting sides; a determination of the value of a propositional function A, by an evaluation of the proportion P of polygons having straight sides, the image being classified as representing a natural landscape if the proportion P is less than a threshold value, for each of the three raster images in gray level, in green color, and in red color.

FR2008459A 2020-08-12 2020-08-12 AUTOMATIC IMAGE CLASSIFICATION PROCESS Active FR3113432B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR2008459A FR3113432B1 (en) 2020-08-12 2020-08-12 AUTOMATIC IMAGE CLASSIFICATION PROCESS

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2008459A FR3113432B1 (en) 2020-08-12 2020-08-12 AUTOMATIC IMAGE CLASSIFICATION PROCESS
FR2008459 2020-08-12

Publications (2)

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FR3113432A1 FR3113432A1 (en) 2022-02-18
FR3113432B1 true FR3113432B1 (en) 2022-08-05

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FR2008459A Active FR3113432B1 (en) 2020-08-12 2020-08-12 AUTOMATIC IMAGE CLASSIFICATION PROCESS

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FR (1) FR3113432B1 (en)

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2790571B1 (en) 1999-03-03 2003-04-04 France Telecom METHOD FOR RECOGNIZING FORMS
US6711293B1 (en) 1999-03-08 2004-03-23 The University Of British Columbia Method and apparatus for identifying scale invariant features in an image and use of same for locating an object in an image
US7353224B2 (en) 2001-12-04 2008-04-01 Hewlett-Packard Development Company, L.P. System and method for efficiently finding near-similar images in massive databases
EP1850270B1 (en) 2006-04-28 2010-06-09 Toyota Motor Europe NV Robust interest point detector and descriptor
US7840059B2 (en) 2006-09-21 2010-11-23 Microsoft Corporation Object recognition using textons and shape filters
US9064150B2 (en) * 2013-05-08 2015-06-23 Honeywell International Inc. Aerial image segmentation for refineries
FR3009635B1 (en) 2013-08-08 2016-08-19 St Microelectronics Sa METHOD FOR SEARCHING A SIMILAR IMAGE IN A BANK OF IMAGES FROM A REFERENCE IMAGE
RU2694016C1 (en) * 2015-08-06 2019-07-08 Эксенчер Глобал Сервисез Лимитед Detecting the state of objects using an image processing system, a corresponding method and a persistent machine-readable medium
FR3072806B1 (en) 2017-10-19 2019-09-27 Commissariat A L'energie Atomique Et Aux Energies Alternatives METHOD FOR CALCULATING A GLOBAL DESCRIPTOR OF AN IMAGE
GB201719862D0 (en) 2017-11-29 2018-01-10 Yellow Line Parking Ltd Hierarchical image interpretation system

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