[go: up one dir, main page]

Noelle et al., 2020 - Google Patents

Calibrated bubble depth determination using a single camera

Noelle et al., 2020

View PDF
Document ID
3745688755215279081
Author
Noelle F
Molteno M
Pott R
Publication year
Publication venue
Chemical Engineering Research and Design

External Links

Snippet

Current non-intrusive bubble parameter measurement techniques fail to consider bubble depth when extracting parameters from 2-D images, resulting in inaccurate measurements. A bubble depth determination method is therefore proposed here that uses a correlation …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Electro-optical investigation, e.g. flow cytometers
    • G01N15/1456—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1459—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/47—Scattering, i.e. diffuse reflection
    • G01N21/49—Scattering, i.e. diffuse reflection within a body or fluid
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; 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
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/02—Investigating particle size or size distribution
    • G01N15/0205—Investigating particle size or size distribution by optical means, e.g. by light scattering, diffraction, holography or imaging
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84—Systems specially adapted for particular applications
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00—Sampling; Preparing specimens for investigation
    • G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q

Similar Documents

Publication Publication Date Title
Kabir et al. Machine learning enabled orthogonal camera goniometry for accurate and robust contact angle measurements
Hessenkemper et al. Particle shadow velocimetry (PSV) in bubbly flows
Maaß et al. Automated drop detection using image analysis for online particle size monitoring in multiphase systems
Radice et al. Solid transport measurements through image processing
EP2387708B1 (en) Automated real-time particle characterization and three-dimensional velocimetry with holographic video microscopy
Honkanen et al. Digital imaging measurement of dense multiphase flows in industrial processes
Bröder et al. Planar shadow image velocimetry for the analysis of the hydrodynamics in bubbly flows
Belden et al. Three-dimensional bubble field resolution using synthetic aperture imaging: application to a plunging jet
US10467764B2 (en) Method for counting and characterization of particles in a fluid in movement
Murgan et al. Experimental PIV and LIF characterization of a bubble column flow
Rossi et al. A fast and robust algorithm for general defocusing particle tracking
Smith et al. Image processing methods for in situ estimation of cohesive sediment floc size, settling velocity, and density
Keyvani et al. A fully-automated image processing technique to improve measurement of suspended particles and flocs by removing out-of-focus objects
Zhang et al. UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light microscopy or 3D digital holography data
Kure et al. Experimental investigation of single bubbles rising in stagnant liquid: Statistical analysis and image processing
Jenssen et al. Flow around a scoured bridge pier: A stereoscopic PIV analysis
Franchini et al. Calibration of astigmatic particle tracking velocimetry based on generalized Gaussian feature extraction
Van Hout et al. The use of high-speed PIV and holographic cinematography in the study of fiber suspension flows
Noelle et al. Calibrated bubble depth determination using a single camera
Tasadduq et al. Three-dimensional particle tracking in microfluidic channel flow using in and out of focus diffraction
Ljubičić et al. Image processing for hydraulic jump free-surface detection: coupled gradient/machine learning model
Gharahjeh et al. Application of video imagery techniques for low cost measurement of water surface velocity in open channels
Hein et al. Calculation of the weighting function and determination of the depth of correlation in micro-PIV from experimental particle images
Honkanen Direct optical measurement of fluid dynamics and dispersed phase morphology in multiphase flows
US20220392031A1 (en) Image processing method, image processing apparatus and image processing system