[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Cañero-Nieto et al., 2019 - Google Patents

A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines

Cañero-Nieto et al., 2019

View PDF
Document ID
16261883901232252171
Author
Cañero-Nieto J
Solano-Martos J
Martín-Fernández F
Publication year
Publication venue
Procedia Manufacturing

External Links

Snippet

The present work is intended for residual oxide scale detection and classification through the application of image processing techniques. This is a defect that can remain in the surface of stainless steel coils after an incomplete pickling process in a production line. From …
Continue reading at www.sciencedirect.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • G06T7/001Industrial image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • G06K9/4604Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30164Workpiece; Machine component
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/89Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/956Inspecting patterns on the surface of objects
    • G01N21/95607Inspecting patterns on the surface of objects using a comparative method
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/03Detection or correction of errors, e.g. by rescanning the pattern
    • G06K9/036Evaluation of quality of acquired pattern
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details

Similar Documents

Publication Publication Date Title
Sun et al. An effective method of weld defect detection and classification based on machine vision
Chondronasios et al. Feature selection for surface defect classification of extruded aluminum profiles
Zhao et al. A sparse-representation-based robust inspection system for hidden defects classification in casting components
Ali et al. A cascading fuzzy logic with image processing algorithm–based defect detection for automatic visual inspection of industrial cylindrical object’s surface
Lim et al. Automatic classification of weld defects using simulated data and an MLP neural network
Islam et al. Capsule image segmentation in pharmaceutical applications using edge-based techniques
Kumar et al. Flaws classification using ANN for radiographic weld images
Tolba et al. Multiscale image quality measures for defect detection in thin films
de la Calle Herrero et al. Inspection system for rail surfaces using differential images
Yazdchi et al. Detection and classification of surface defects of cold rolling mill steel using morphology and neural network
Cañero-Nieto et al. A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines
Coskun et al. Integration of digital quality control for intelligent manufacturing of industrial ceramic tiles
Molefe et al. Classification of thermite welding defects using local binary patterns and k nearest neighbors
JP7459957B2 (en) Inspection method, classification method, management method, steel manufacturing method, learning model generation method, learning model, inspection device, and steel manufacturing equipment
Mansano et al. Inspection of metallic surfaces using local binary patterns
Islam et al. Computer vision-based quality inspection system of transparent gelatin capsules in pharmaceutical applications
Tural et al. AUTOMATED DEFECT DETECTION ON SURFACE OF MILITARY CARTRIDGES.
El-Agamy et al. Automated inspection of surface defects using machine vision
Elanangai et al. Automated system for defect identification and character recognition using IR images of SS-plates
Rale et al. Comparison of different ANN techniques for automatic defect detection in X-Ray images
Sison et al. A convolutional neural network for segmentation of background texture and defect on copper clad lamination surface
Elanangai et al. Defect detection and recognition of SS plate using deep autoencoder neural network
Yimit et al. Automatic visual inspection method for a coated surface having an orange peel effect
Stivanello et al. A machine vision system for online metal can-end rivet inspection
Park et al. Automated surface inspection system for black resin coated steel