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ComputerVisionTechnologyfor FoodQualityEvaluation

SecondEdition

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TypesetbyTNQBooksandJournals

4.6SupportVectorMachine....................................................................................101

4.6.1BinaryClassification......................................................................................101

4.6.2Multiclassification..........................................................................................103 Nomenclature............................................................................................................106

Chapter5:IntroductiontoHyperspectralImagingTechnology............................111 M.Kamruzzaman,D.-W.Sun

5.1Introduction........................................................................................................111

5.2FundamentalsofHyperspectralImagingTechnology......................................112

5.3MultivariateDataAnalysis................................................................................116

5.3.1SpectralPreprocessing...................................................................................116

5.3.2DevelopmentofMultivariateCalibration.....................................................117

5.3.3ModelValidationandEvaluation..................................................................118

5.3.4SelectionofImportantWavelengths.............................................................118

5.3.5MultivariateImageAnalysis..........................................................................119

5.4HyperspectralImageAnalysisSoftware...........................................................119

5.5ApplicationofHSIforMuscleFoods...............................................................120

5.5.1Beef................................................................................................................122

5.5.2Pork................................................................................................................122

5.5.3Lamb...............................................................................................................125

5.5.4Chicken...........................................................................................................126

5.5.5Turkey.............................................................................................................129

5.5.6Fish.................................................................................................................129

Chapter6:IntroductiontoRamanChemicalImagingTechnology........................141 J.Qin,K.Chao,M.S.Kim

6.1Introduction........................................................................................................141

6.2PrinciplesofRamanScattering.........................................................................142

6.3RamanSpectroscopyTechniques......................................................................143

6.3.1BackscatteringRamanSpectroscopy.............................................................143

6.3.2TransmissionRamanSpectroscopy...............................................................144

6.3.3SpatiallyOffsetRamanSpectroscopy...........................................................144

6.3.4Surface-EnhancedRamanSpectroscopy.......................................................144

6.3.5OtherRamanTechniques...............................................................................145

6.4RamanChemicalImagingandAcquisitionMethods.......................................145

6.5RamanImagingInstruments..............................................................................149

6.5.1MajorComponentsofRamanImagingSystems..........................................149

6.5.2RamanImagingSystemsandCalibrations...................................................154

6.6RamanImageAnalysisTechniques..................................................................158

6.6.1ImagePreprocessing......................................................................................158

6.6.2TargetIdentification.......................................................................................159

6.6.3MappingandQuantitativeAnalysis..............................................................161

Part2QualityEvaluationofMeat,PoultryandSeafood

Chapter7:QualityEvaluationofMeatCuts....................................................175

N.A.Valous,L.Zheng,D.-W.Sun,J.Tan

7.1Introduction........................................................................................................175

7.2QualityEvaluationUsingComputerVision.....................................................177

7.2.1BeefQuality,YieldGrade,Composition,andTenderness...........................177

7.2.2PorkColor,Marbling,Grade,andComposition...........................................178

7.2.3PoultryInspection,ContaminantDetection,andComposition....................179

7.2.4LambYieldGradeandTenderness...............................................................179

7.3QualityEvaluationUsingHyperspectralImaging............................................180

7.3.1BeefTenderness,MicrobialSpoilage,andComposition.............................180

7.3.2PorkGrading,Composition,andMicrobialSpoilage..................................181

7.3.3PoultryClassification,ContaminantDetection,andComposition...............183

7.3.4LambClassification,Composition,andTenderness.....................................185

7.4FutureWork.......................................................................................................185

8.1Introduction........................................................................................................195

9.3ColorImagingforQualityInspection...............................................................215

9.3.1DetectionofSplenomegaly...........................................................................215

9.3.2VisceraInspection..........................................................................................216

9.3.3WholesomenessInspection............................................................................217

9.4SpectralImaging................................................................................................217

9.4.1QualityCharacterization................................................................................217

9.4.2SkinTumorDetection....................................................................................219

9.4.3SystemicDiseaseDetection...........................................................................220

9.4.4HeartDiseaseDetection................................................................................221

9.4.5SystemicDiseaseIdentification.....................................................................222

9.4.6QualityInspectionbyDual-BandSpectralImaging.....................................224

9.5PoultryImageClassifications............................................................................225

9.5.1AirSacsClassificationbyLearningVectorQuantization............................225

9.5.2QualityClassificationbyTextureAnalysis...................................................225

9.5.3SupervisedAlgorithmsforHyperspectralImageClassification..................230

10.1Introduction......................................................................................................243

10.1.1DevelopmentsinNewHardwareandTechnologies.................................243

10.1.2CentralProcessingUnit(CPU):ComputingPower.................................244

10.1.3GraphicalProcessingUnit:AcceleratedComputing................................244 10.1.4NewCameraTechnology..........................................................................245

10.2NewMethods...................................................................................................247

10.2.1HyperspectralImaging...............................................................................247

10.2.2SortingofCodRoe,Liver,andMilt.........................................................247

10.2.3X-Rays........................................................................................................248

10.2.4TwoImageMethod....................................................................................249

10.3Color.................................................................................................................249

10.3.1RawSeafood..............................................................................................249

10.3.2ProcessedSeafood......................................................................................250

10.3.3ColorofGillsandEyes.............................................................................251

10.3.4Quality,Gaping,Defects............................................................................252

10.3.5Area,Volume,andShape..........................................................................256

10.3.6ViewAreaVersusWeight..........................................................................258

10.4Automation.......................................................................................................260

10.4.1Robot-BasedPosttrimmingofSalmonFillets..........................................261

10.4.2AutomatedSortingofPelagicFishBasedon3-DMachineVision........262

10.5ConclusionandOutlook..................................................................................263

10.5.1FusionofSensorData...............................................................................264

10.5.2Dense3-DPointCloudImageMaps........................................................264

10.5.3Dense3-DVisualServoingofRobots......................................................264

Part3QualityEvaluationofFruitandVegetables

12.3.2DetectionofCitrusCanker........................................................................318

12.3.3DetectionofOtherSkinDefects...............................................................319

12.4InternalQualityInspection..............................................................................319 References.................................................................................................................321

Chapter13:QualityEvaluationofStrawberry.................................................327 J.-H.Cheng,D.-W.Sun,M.Nagata,J.G.Tallada

13.1Introduction......................................................................................................327

13.1.1OverviewofStrawberries..........................................................................327

13.1.2NecessityofQualityMeasurement...........................................................327

13.1.3ComputerVisionTechnologiesforQualityMeasurement.......................328

13.2GradingofSize,Shape,andRipeness............................................................329

13.2.1StandardsforQualityGrades....................................................................329

13.2.2PreliminaryStudyforSizeandShapeJudgment.....................................330

13.2.3AdvanceTechniquesforSizeandShapeJudgment.................................332

13.2.4GradingofRipeness..................................................................................336

13.3DetectionofBruisesandFecalContamination..............................................337

13.3.1ImportanceofDetectingBruises...............................................................337

13.3.2ColorImagingforBruiseDetection.........................................................338

13.3.3NIRImagingforBruiseDetection............................................................338

13.4.1ImportanceofMeasurementofInternalQuality......................................343

13.4.2MeasurementofFirmness..........................................................................343

13.4.3MeasurementofSolubleSolidsContent...................................................346 13.4.4EstimationofAnthocyaninDistribution...................................................347

Chapter15:GradingofPotatoes....................................................................369

15.1Introduction......................................................................................................369

Part4QualityEvaluationofGrains

Chapter16:WheatQualityEvaluation............................................................385

16.2.1ContextforWheatQualityMonitoring.....................................................386 16.2.2Area-ScanImaging....................................................................................387

16.2.6Morphological,Color,andTexturalAlgorithms.......................................393

16.3SoftX-RayImaging.........................................................................................396

16.3.1SoftX-RaysforInsectInfestationDetectioninGrain.............................397

16.4NearInfraredSpectroscopy(NIRS)andHyperspectralImaging..................398

16.4.1MeasurementofNearInfraredRadiation.................................................399

16.4.2NearInfraredSpectroscopyInstrumentation............................................401

16.4.3NearInfraredHyperspectralImaging.......................................................402

16.4.4ApplicationofNearInfraredSpectroscopyandHyperspectral ImagingSystems........................................................................................403

16.5ThermalImaging..............................................................................................405

16.5.1ApplicationofThermalImaging...............................................................406

16.6PotentialPracticalApplications.......................................................................406

16.6.1AutomationofRailcarUnloading.............................................................406

16.6.2OptimizationofGrainCleaning................................................................406

16.6.3QualityMonitoringofExportGrains........................................................406

16.6.4DetectionofLow-LevelInfestation..........................................................407 References.................................................................................................................407

Chapter17:QualityEvaluationofRice...........................................................413 Y.Ogawa

17.1Introduction......................................................................................................413

17.2QualityofRice.................................................................................................413

17.3QualityEvaluationofRawRice.....................................................................416

17.3.1MorphologicalFeatures.............................................................................416

17.3.2SurfaceandStructuralTraits.....................................................................419

17.3.3MoistureandCompoundDistributions.....................................................422

17.3.4DefectDetection........................................................................................425

17.4QualityEvaluationofCookedRice................................................................426

17.4.1ChangesinWaterDistributionDuringSoaking.......................................426

17.4.2WaterMigrationandStructuralChangesDuringBoiling........................428

17.4.3GrainStructureofCookedRice................................................................430

17.5QualityEvaluationofRice-RelatedProducts.................................................432

18.1Introduction......................................................................................................439

18.1.1WholeSeedAnalysisforType..................................................................440

18.1.2InternalSeedCharacteristics.....................................................................440

18.1.3RelatingSeedMorphometrytoQuality....................................................442

18.1.4AssessingSeedQualityIndirectly.............................................................442

18.1.5AddingColorintotheAnalysis................................................................444

18.1.6TheAnalysisIsOnlyasGoodastheSample..........................................444

18.1.7IntegrationandAutomationofAnalysis...................................................444 18.2Corn..................................................................................................................446

18.2.1UseofCorn................................................................................................446

18.2.2CornGrading..............................................................................................446

18.3MachineVisionDeterminationofCornQuality............................................447

18.3.1Color...........................................................................................................448

18.3.2SizeandShape...........................................................................................448

18.3.3Breakage.....................................................................................................451

18.3.4StressCracks..............................................................................................452

18.3.5HeatDamage..............................................................................................453

18.3.6MoldandFungalContamination...............................................................453

18.3.7HardnessorVitreousness...........................................................................454

18.3.8SeedViability.............................................................................................455

18.3.9OtherApplications.....................................................................................456

18.3.10ChangingDirections................................................................................456

Chapter22:QualityEvaluationandControlofPotatoChips.............................591

22.1Introduction......................................................................................................591

22.2ComputerVision..............................................................................................592

22.3ImageFeatures.................................................................................................595

22.4Applications......................................................................................................599

22.5FriedPotatoSorting.........................................................................................604

22.5.1BrowningSortingUsingArtificialNeuralNetworks(ANN) byCARAH(Centrepourl’agronomieetl’agro-industriedela ProvinceeHainaut,Belgium)...................................................................604

22.5.2BrowningSortingWithoutANN(WalloonAgricultural ResearchCenter,Belgium)........................................................................607

22.5.3BrowningSortingandAcrylamideEstimationUsingANN byCARAH.................................................................................................610

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Contributors

M.Z.Abdullah SchoolofElectricalandElectronicEngineering,UniversitiSainsMalaysia, Penang,Malaysia

Z.Ayvaz C¸anakkaleOnsekizMartUniversity,C¸anakkale,Turkey

M.O.Balaban UniversityofAuckland,Auckland,NewZealand

D.F.Barbin UniversityCollegeDublin(UCD),NationalUniversityofIreland,Dublin,Ireland

J.Blasco InstitutoValencianodeInvestigacionesAgrarias(IVIA),Moncada,Spain

K.Chao BeltsvilleAgriculturalResearchCenter,Beltsville,MD,UnitedStates

J.-H.Cheng SouthChinaUniversityofTechnology,Guangzhou,China

S.Cubero InstitutoValencianodeInvestigacionesAgrarias(IVIA),Moncada,Spain

Q.Dai SouthChinaUniversityofTechnology,Guangzhou,China

R.Diaz AINIATechnologicalCentre,Valencia,Spain

C.-J.Du UniversityCollegeDublin(UCD),NationalUniversityofIreland,Dublin,Ireland

C.Erkinbaev UniversityofManitoba,Winnipeg,MB,Canada

P.K.Ghosh Agriculture,FoodandRuralDevelopment,GovernmentofManitoba, Winnipeg,MB,Canada

S.Gunasekaran UniversityofWisconsin-Madison,Madison,WI,UnitedStates

H.-J.He UniversityCollegeDublin(UCD),NationalUniversityofIreland,Dublin,Ireland

A.Iqbal UniversityCollegeDublin(UCD),NationalUniversityofIreland,Dublin,Ireland

D.S.Jayas UniversityofManitoba,Winnipeg,MB,Canada

M.Kamruzzaman UniversityCollegeDublin(UCD),NationalUniversityofIreland, Dublin,Ireland

C.Karunakaran CanadianLightSource,Saskatoon,SK,Canada

M.S.Kim BeltsvilleAgriculturalResearchCenter,Beltsville,MD,UnitedStates

Y.Lu MichiganStateUniversity,EastLansing,MI,UnitedStates

R.Lu MichiganStateUniversity,EastLansing,MI,UnitedStates

T.Marique Centrepourl’Agronomieetl’Agro-IndustriedelaProvincedeHainaut(CARAH), Belgium

D.Mery PontificiaUniversidaddeCato ´ licadeChile,Santiago,Chile

E.Misimi SINTEFFisheriesandAquaculture,Trondheim,Norway

E.Molto ´ InstitutoValencianodeInvestigacionesAgrarias(IVIA),Moncada,Spain

M.Nagata UniversityofMiyazaki,Miyazaki,Japan

S.Nashat SchoolofElectricalandElectronicEngineering,UniversitiSainsMalaysia, Penang,Malaysia

Y.Ogawa ChibaUniversity,Matsudo,Japan

J.Paliwal UniversityofManitoba,Winnipeg,MB,Canada

B.Park USNationalPoultryResearchCenter,Athens,GA,UnitedStates

F.Pedreschi PontificiaUniversidaddeCato ´ licadeChile,Santiago,Chile

J.Qin BeltsvilleAgriculturalResearchCenter,Beltsville,MD,UnitedStates

M.A.Shahin GrainResearchLaboratory,Winnipeg,MB,Canada

D.-W.Sun SouthChinaUniversityofTechnology,Guangzhou,China;UniversityCollege Dublin(UCD),NationalUniversityofIreland,Dublin,Ireland

S.J.Symons GrainResearchLaboratory,Winnipeg,MB,Canada

J.G.Tallada UniversityofMiyazaki,Miyazaki,Japan

J.Tan UniversityofMissouri,Columbia,MO,UnitedStates

N.A.Valous UniversityCollegeDublin(UCD),NationalUniversityofIreland,Dublin,Ireland

Z.Xiong SouthChinaUniversityofTechnology,Guangzhou,China

C.Zheng UniversityCollegeDublin(UCD),NationalUniversityofIreland,Dublin,Ireland

L.Zheng UniversityCollegeDublin(UCD),NationalUniversityofIreland,Dublin,Ireland

AbouttheEditor

BorninsouthernChina,ProfessorDa-WenSunisaglobal authorityinfoodengineeringresearchandeducation.Heisa MemberoftheRoyalIrishAcademy,thehighestacademichonor inIreland;aMemberofAcademiaEuropaea(TheAcademyof Europe),oneofthemostprestigiousacademiesintheworld;anda FellowoftheInternationalAcademyofFoodScienceand Technology.Hehassignificantlycontributedtothefieldoffood engineeringasaresearcher,asanacademicauthority,andasan educator.

Hismainresearchactivitiesincludecooling,drying,and refrigerationprocessesandsystems;qualityandsafetyoffood products;bioprocesssimulationandoptimization;andcomputer vision/imageprocessingandhyperspectralimagingtechnologies.Hismanyscholarlyworkshave becomestandardreferencematerialsforresearchersintheareasofcomputervision,computational fluiddynamicsmodeling,vacuumcooling,etc.Resultsofhisworkhavebeenpublishedinover800 papers,includingmorethan400peer-reviewedjournalpapers(WebofScienceh-index ¼ 71), amongthem,31papershavebeenselectedbyThomsonReuters’s EssentialScienceIndicatorsSM as highly-citedpapers,rankinghimNo.1intheworldinAgriculturalSciences(December2015). Hehasalsoedited14authoritativebooks.AccordingtoESI,basedondataderivedoveraperiodof 10yearsfromtheWebofScience,thereareabout4500scientistswhoareamongthetop1%ofthe mostcitedscientistsinthecategoryofAgricultureSciences,andProfessorSunhasconsistently beenrankedamongthetop50scientistsintheworld(hewasatthe20thpositioninDecember 2015),andhasrecentlybeennamedHighlyCitedResearcher2015byThomsonReuters.

HereceivedafirstclassBScHonorsandMScinMechanicalEngineeringandaPhDin ChemicalEngineeringinChinabeforeworkinginvariousuniversitiesinEurope.Hebecamethe firstChinesenationaltobepermanentlyemployedinanIrishUniversitywhenhewasappointed collegelecturerattheNationalUniversityofIreland,Dublin(UniversityCollegeDublin)in1995. Hewasthencontinuouslypromotedintheshortestpossibletimetoseniorlecturer,associate professor,andfullprofessor.Dr.SunisnowprofessorofFoodandBiosystemsEngineering,and directoroftheFoodRefrigerationandComputerizedFoodTechnologyResearchGroupat UniversityCollegeDublin(UCD).

Asaleadingeducatorinfoodengineering,ProfessorSunhassignificantlycontributedtothe fieldoffoodengineering.HehastrainedmanyPhDstudents,whohavemadetheirown contributionstotheindustryandacademia.Hehasalsogivenlecturesonadvancesinfood engineeringonaregularbasisinacademicinstitutionsinternationallyandhasdeliveredkeynote

speechesatinternationalconferences.Asarecognizedauthorityinfoodengineering,hehasbeen conferredadjunct/visiting/consultingprofessorshipsfrom10topuniversitiesinChina,including ZhejiangUniversity,ShanghaiJiaotongUniversity,HarbinInstituteofTechnology,China AgriculturalUniversity,SouthChinaUniversityofTechnology,JiangnanUniversity.Inrecognition ofhissignificantcontributiontoFoodEngineeringworldwideandforhisoutstandingleadership inthefield,theInternationalCommissionofAgriculturalandBiosystemsEngineering(CIGR) awardedhimthe“CIGRMeritAward”in2000,andagainin2006,theInstitutionofMechanical Engineers(IMechE)basedintheUnitedKingdomnamedhim“FoodEngineeroftheYear2004,” andin2008hewasawardedthe“CIGRRecognitionAward”inhonorofhisdistinguished achievementsasthetop1%ofAgriculturalEngineeringscientistsintheworld.In2007,hewas presentedwiththeonly“AFST(I)FellowAward”inthatyearbytheAssociationofFood ScientistsandTechnologists(India).In2010,hereceivedthe“CIGRFellowAward”;thetitleof FellowisthehighesthonorinCIGRandisconferredtoindividualswhohavemadesustained, outstandingcontributionsworldwide.InMarch2013,hewaspresentedwiththe“YouBring CharmtotheWorldAward”byHongKong-basedPhoenixSatelliteTelevision,withotheraward recipientsincludingthe2012NobelLaureateinLiteratureandtheChineseAstronautTeamfor theShenzhouIXSpaceship.InJuly2013hereceived“TheFrozenFoodFoundationFreezing ResearchAward”fromtheInternationalAssociationforFoodProtection(IAFP)forhissignificant contributionstoenhancingthefieldoffoodfreezingtechnologies;thisisthefirsttimethatthis prestigiousawardwaspresentedtoascientistoutsidetheUnitedStates.InJune2015hewaspresentedwiththe“IAEFLifetimeAchievementAward.”ThisIAEF(InternationalAssociationof EngineeringandFood)awardhighlightsthelifetimecontributionofaprominentengineerinthe fieldoffood.

HeisaFellowoftheInstitutionofAgriculturalEngineersandaFellowofEngineersIreland(the InstitutionofEngineersofIreland).Heisalsothefounderandeditor-in-chiefof FoodandBioprocess Technology anInternationalJournal (Springer)(2012ImpactFactor ¼ 4.115),serieseditorofthe ContemporaryFoodEngineering bookseries(CRCPress/TaylorandFrancis),formereditorof JournalofFoodEngineering (Elsevier),andeditorialboardmemberforanumberofinternational journalsincluding JournalofFoodProcessEngineering, JournalofFoodMeasurementand Characterization, PolishJournalofFoodandNutritionalSciences,etc.HeisalsoaChartered Engineer.

Atthe51stCIGRGeneralAssemblyheldduringtheCIGRWorldCongressinQuebecCity, CanadaonJune13 17,2010,hewaselectedIncomingPresidentofCIGR,becameCIGRPresident in2013 14,andisnowCIGRPastPresident.CIGRistheworldlargestorganizationinthefieldof agriculturalandbiosystemsengineering.

Prefacetothe2ndEdition

Computervisionisatechnologythatemploysimageprocessingandanalysisforobjectrecognition andquantitativeinformationextraction.Drivenbysignificantincreasesincomputerpowerandrapid developmentsinimageprocessingtechniquesandsoftware,theapplicationofcomputervisionhas becomewidespread,inparticular,toprovideobjective,rapid,noncontact,andnondestructivequality inspection,classification,andevaluationforawiderangeoffoodandagriculturalproducts.

The1steditionof ComputerVisionTechnologyforFoodQualityEvaluation waspublishedin 2008,withthemainaimstopresentacomprehensivereviewofcomputervisionapplicationsforthe foodindustryandpinpointtheresearchanddevelopmenttrendsinthedevelopmentofthetechnology; toprovidetheengineerandtechnologistworkinginresearch,development,andoperationsinthefood industrywithcritical,comprehensive,andreadilyaccessibleinformationontheartandscienceof computervisiontechnology;andtoserveasanessentialreferencesourcetoundergraduateandpostgraduatestudentsandresearchersinuniversitiesandresearchinstitutions.Thiswillcontinuetobethe purposeofthis2ndedition.

Inthe2ndedition,besidesupdatingorrewritingindividualchapterswiththelatestdevelopmentsin eachtopicarea,twonewchaptersareadded.Hyperspectralimaginghasrapidlyemergedasand maturedintooneofthemostpowerfulandfastestgrowingnondestructivetoolsforfoodqualityanalysisandcontrol.Usinghyperspectralimagingtechniques,thespectrumassociatedwitheachpixelina foodimagecanbeusedasafingerprinttocharacterizethebiochemicalcompositionofthepixel,thus enablingthevisualizationoftheconstituentsofthefoodsampleatthepixellevel.Manychaptersin this2ndeditionhavethusbeenupdatedtoincludehyperspectralimagingapplicationsinrelevant areas.Ontheotherhand,Ramanchemicalimagingtechnologyisexpectedtobecomeoneofthe dominantimagingtechniquesinfoodresearch.ThereforetwonewchaptersareaddedinPartIto reflectthiscurrenttrendofdevelopmentsinfoodimagingtechnology.Inaddition,onechapteris removedfromPartVduetolackofdevelopmentinthetopicarea.

SouthChinaUniversityofTechnology,Guangzhou,China; UniversityCollegeDublin(UCD),NationalUniversityofIreland,Dublin,Ireland

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FundamentalsofComputer VisionTechnology

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ImageAcquisitionSystems

SchoolofElectricalandElectronicEngineering,UniversitiSainsMalaysia,Penang,Malaysia

1.1Introduction

Inmakingaphysicalassessmentofagriculturalmaterialsandfoodstuff,imagesareundoubtedly thepreferredmethodinrepres entingconceptstothehumanbr ain.Manyofthequalityfactors affectingfoodstuffscanbedeterminedbyvisualinspectionandimageanalysis.Suchinspections determinemarketpriceand,tosomeextent,the“best-if-used-beforedate.”Traditionally,quality inspectionisperformedbytrainedhumaninspectorswhoapproachtheproblemofqualityassessmentintwoways:seeingandfeeling.Inadditiontobeingcostly,thismethodishighlyvariable, anddecisionsarenotalwaysconsistentbetweeninspectorsorfromdaytoday.Thisis,however, changingwiththeadventofelectronicimagingsy stemsandwiththerapiddeclineincostsofcomputers,peripheralsandotherdigitaldevices.Mo reover,theinspectionoffoodstuffsforvarious qualityfactorsisaveryrepetitive task,whichisalsoverysubjectiveinnature.Inthistypeofenvironment,machinevisionsystemsareideallysuite dforroutineinspectionandqualityassurance tasks.Backedbypowerfulartificialintelligencesy stemsandthestate-of-the -artelectronictechnologies,machinevisionprovidesa mechanisminwhichthehumanthinkingprocessissimulatedartificially.Todate,machinevisionhasextensivelybeenappliedtosolvevariousfoodengineering problems,rangingfromthesimplequalityevalua tionoffoodproductstocomplicatedrobotguidanceapplications(Abdullahetal.,2000;Pearson,1996;Taoetal.,1995).Despitethegeneral utilityofmachinevisionimagesasa first-lineinspectiontool,theircapabilitiesformorein-depth investigationarefundamentallylimited.Thisis duetothefactthatimagesproducedbyvision cameraareformedusinganarrowban dofradiation,extendingfrom10 4 to10 7 minwavelength.Duetothis,scientistsandengineershave inventedcamerasystemsthatallowpatternsof energyfromvirtuallyanypartoftheelectromagneticspectrumtobevisualized.Camerasystems suchasthecomputedtomography(CT),themag neticresonanceimaging(MRI),thenuclearmagneticresonance(NMR),thesingle-photonemissioncomputedtomography(SPECT),andthepositronemissiontomography(PET)operate atshorterwavelengths,rangingfrom10 8 to10 13 m. Ontheoppositesideoftheelectromagneticspect rum,thereareinfraredandradiocameras,which enablevisualizationtobeperform edatwavelengthsgreaterthan10 6 and10 4 m,respectively. Alltheseimagingmodalitiesrelyonacquisitionhar dwarefeaturinganarrayorringofdetectors, whichmeasurethestrengthofsomeformofradiation,eitherduetoreflectionorafterthesignal haspassedtransverselythroughtheobject.Perhapsonethingthatthesecamerasystemshavein commonistherequirementtoperformdigitalima geprocessingoftheresultingsignalsusing moderncomputingpower.Whiledigitalimageprocessingisusuallyassumedastheprocessof convertingradiantenergyinathree-dimensionalworldintoatwo-dimensionalradiantarrayof

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