FR3117597B1 - Non-destructive testing process for an aeronautical part - Google Patents
Non-destructive testing process for an aeronautical part Download PDFInfo
- Publication number
- FR3117597B1 FR3117597B1 FR2013391A FR2013391A FR3117597B1 FR 3117597 B1 FR3117597 B1 FR 3117597B1 FR 2013391 A FR2013391 A FR 2013391A FR 2013391 A FR2013391 A FR 2013391A FR 3117597 B1 FR3117597 B1 FR 3117597B1
- Authority
- FR
- France
- Prior art keywords
- zone
- vector
- destructive testing
- aeronautical
- pixel
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title abstract 3
- 238000009659 non-destructive testing Methods 0.000 title abstract 2
- 238000012935 Averaging Methods 0.000 abstract 1
- 238000004590 computer program Methods 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/72—Investigating presence of flaws
-
- 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
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray 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
- G06T2207/20076—Probabilistic image processing
-
- 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
- G06T2207/30164—Workpiece; Machine component
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Image Analysis (AREA)
Abstract
Procédé de contrôle non destructif d’une pièce, par exemple une pièce aéronautique, système, produit programme d’ordinateur, pièce aéronautique et aéronef, le procédé comprenant une étape d’acquisition de plusieurs images de la pièce à différents instants d’acquisition respectifs, chaque image comprenant des pixels associés respectivement à des zones de la pièce, une valeur du pixel étant représentative d’une caractéristique de la zone, une étape d'association de chaque zone à un vecteur ayant des composantes comprenant les valeurs du pixel aux différents instants d’acquisition, une étape de détermination de paramètres de référence, associés à au moins une zone, par moyennage du vecteur de zones voisines de la zone d’une pièce de référence et une étape de comparaison du vecteur de la zone avec les paramètres de référence pour détecter une anomalie sur la zone. Figure pour l’abrégé : Fig. 1Method for non-destructive testing of a part, for example an aeronautical part, system, computer program product, aeronautical part and aircraft, the method comprising a step of acquiring several images of the part at different respective acquisition times , each image comprising pixels associated respectively with zones of the room, a value of the pixel being representative of a characteristic of the zone, a step of associating each zone with a vector having components comprising the values of the pixel at the different acquisition instants, a step of determining reference parameters, associated with at least one zone, by averaging the vector of zones neighboring the zone of a reference part and a step of comparing the vector of the zone with the parameters reference to detect an anomaly in the area. Figure for abstract: Fig. 1
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR2013391A FR3117597B1 (en) | 2020-12-16 | 2020-12-16 | Non-destructive testing process for an aeronautical part |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR2013391 | 2020-12-16 | ||
FR2013391A FR3117597B1 (en) | 2020-12-16 | 2020-12-16 | Non-destructive testing process for an aeronautical part |
Publications (2)
Publication Number | Publication Date |
---|---|
FR3117597A1 FR3117597A1 (en) | 2022-06-17 |
FR3117597B1 true FR3117597B1 (en) | 2024-04-12 |
Family
ID=75850251
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
FR2013391A Active FR3117597B1 (en) | 2020-12-16 | 2020-12-16 | Non-destructive testing process for an aeronautical part |
Country Status (1)
Country | Link |
---|---|
FR (1) | FR3117597B1 (en) |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR3071611B1 (en) | 2017-09-28 | 2020-08-28 | Safran | METHOD AND DEVICE FOR NON-DESTRUCTIVE INSPECTION OF AN AERONAUTICAL PART |
-
2020
- 2020-12-16 FR FR2013391A patent/FR3117597B1/en active Active
Also Published As
Publication number | Publication date |
---|---|
FR3117597A1 (en) | 2022-06-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | Design of a tomato classifier based on machine vision | |
CN111047568B (en) | Method and system for detecting and identifying steam leakage defect | |
Jaafar et al. | Detection of exudates in retinal images using a pure splitting technique | |
CN107220649A (en) | A kind of plain color cloth defects detection and sorting technique | |
US10445868B2 (en) | Method for detecting a defect on a surface of a tire | |
CN112862744B (en) | Intelligent detection method for internal defects of capacitor based on ultrasonic image | |
CN107341793A (en) | A kind of target surface image processing method and device | |
MX2023011465A (en) | Object imaging and detection systems and methods. | |
CN116381053A (en) | Ultrasonic detection method and system for welding metal materials | |
CN117237747B (en) | Hardware defect classification and identification method based on artificial intelligence | |
CN111539927A (en) | Detection process and algorithm of automobile plastic assembly fastening buckle lack-assembly detection device | |
Tang et al. | Surface inspection system of steel strip based on machine vision | |
Jadhav et al. | Classification of diabetes retina images using blood vessel area | |
CN117078679B (en) | Automatic assembly line production detection method for cooling fan based on machine vision | |
FR3117597B1 (en) | Non-destructive testing process for an aeronautical part | |
CN109829902A (en) | A kind of lung CT image tubercle screening technique based on generalized S-transform and Teager attribute | |
CN110889367A (en) | Deep learning-based kitchen worker wearing standard identification method | |
CN109272480B (en) | Detection method for boundary of immiscible solution | |
US11631183B2 (en) | Method and system for motion segmentation | |
Niskanen et al. | Experiments with SOM based inspection of wood | |
CN112070710A (en) | Method for detecting industrial product defect image | |
KR20180030293A (en) | Segregation analysis apparatus and method | |
US20190197349A1 (en) | Image identification method and image identification device | |
Mustafa et al. | Contrast Correction Using Hybrid Statistical Enhancement on Weld Defect Images. | |
Karim et al. | Comparing the Main Approaches of Image Segmentation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PLFP | Fee payment |
Year of fee payment: 2 |
|
PLSC | Publication of the preliminary search report |
Effective date: 20220617 |
|
PLFP | Fee payment |
Year of fee payment: 3 |
|
PLFP | Fee payment |
Year of fee payment: 4 |