1 Introductio
1.1 Food Quality and Safety
1.2 Method for Food Quality and Safety Assessment
1.3 Nondestructive Measurement Technology iFood Science and Technology
Summary
References and Further Reading
2 Machine VisioOnline Measurements
2.1 Introduction
2.2 Images AcquisitioSystem
2.2.1 LightingSystem
2.2.2 Camera
2.2.3 Lens
2.3 Image Processing
2.3.1 ImageSegmentation
2.3.2 Imagelnterpretatioand Classificatio
2.4 Applications of Machine VisioiFood and Agricultural Products
2.4.1 Applications
2.4.2 Online Machine VisionApplications
2.5 Machine VisioforApples Grading
2.5.1 Machine VisioSystem for Apple Shape and Color Grading
2.5.2 Apples Defects Detectioby Three-Color-Camera System
2.6 Machine VisioOnline Sorting Maturity ofCherry Tomato
2.6.1 Hardware ofthe DetectioSystem
2.6.2 Image Analysis
2.6.3 Sorting Results
2.7 Machine VisioOnline DetectioQuality of Soft Capsules
2.7.1 The Hardware of Soft Capsule Online Grading System
2.7.2 ImageProcess
2.7.3 Sorting Results
Summary
References
3 NIR Spectroscopy Detection
3.1 Introduction
3.2 A BriefReview ofRegressioMethods iNIR
3.2.1 Calibratioand Validation
3.2.2 Multiple linear Regression, Principal Component Regression, and Partial Least-Squares Regression
3.3 Variable SelectioMethods
3.3.1 ManualApproaches: Knowledge-Based Selection
3.3.2 VariableSelectionbySingle-TermLinearRegressioand Multiterm Regression
3.3.3 Successive ProjectionsAlgorithm and Uninformative Variable Eliminatio
3.3.4 Simulated Annealing, Artificial Neural Networks,and Geic Algorithm ACO
3.3.5 Interval SelectioMethod
3.3.6 Other Wavelength SelectioMethods and Software of Wavelength SelectioMethods
3.4 Apple Soluble Solid Content Determinatioby NIR by Different iPL S Model
3.4.1 Apple NIR Spectroscopy Acquisitioand Preprocessing
3.4.2 DeterminatioofApple SSC by Different PLS Models
3.4.3 DeterminatioofApple SSC by the most Predictive Models
3.5 Near-Infrared QuantitativeAnalysis of Pigment i Cucumber Leaves
3.5.1 Plant Materialand NIRAcquisitio
3.5.2 Quantitative PredicatioofPigment iCucumber Leaves
3.5.3 Results Summary and Conclusio
Summary
References
4 Hyperspectral Imaging Detection
4. 1 Introduction
4.1.1 Spectral Band Usage and Chemicallmaging
4.1.2 Hyperspectral Imaging
4.2 Hyperspectral Images Acquisition and Investigation
4.2.1 Hyperspectral Image Acquisitio
4.2.2 Hyperspectral Image Preprocess
4.3 PCA and ICAAnalysis in Hyperspectral
4.3.1 Principal Component Analysis
4.3.2 Independent Component Analysis
4.3.3 PCA and ICA in Spatial Way
……
5 Electronic Nose Measurements
6 Colorimetric Sensors Measurement
7 Acoustic Measurements
8 Sensor Fusio Measurement
9 Other Nondestructive Measurement Technologies
