6533b832fe1ef96bd129a11e
RESEARCH PRODUCT
Application of machine-vision techniques to fish-quality assessment
Majid DowlatiMiguel De La GuardiaMajid DowlatiSeyed Saeid Mohtasebisubject
Quality assessmentComputer scienceMachine visionbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFish speciesColor analysisImage processingMachine learningcomputer.software_genreFish qualityAbstract machineAnalytical ChemistryVisible rangeArtificial intelligencebusinesscomputerSpectroscopyComputingMethodologies_COMPUTERGRAPHICSdescription
Abstract Machine vision is a non-destructive, rapid, economic, consistent and objective inspection tool and is also an evaluation technique based on image analysis and processing with a variety of applications. We review the use of machine vision and imaging technologies for fish-quality assessment. This review updates and condenses a representative selection of recent research and industrial solutions proposed in order to evaluate the general trends of machine vision and image processing in the visible range applied for inspection of fish and fish products. In order to determine freshness and composition, it is necessary to measure and to evaluate size and volume, to estimate weight, to measure shape parameters, to analyze skin and fillet in different color shades, to recognize fish species and sex, and to detect defects. Considering the overall trends, we propose some future directions for research.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-11-01 | TrAC Trends in Analytical Chemistry |