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Machine Vision for the Inspection of Natural Products

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Cover of 'Machine Vision for the Inspection of Natural Products'

Table of Contents

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    Book Overview
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    Chapter 1 Like Two Peas in a Pod
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    Chapter 2 Basic Machine Vision Techniques
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    Chapter 3 Intelligent Image Processing
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    Chapter 4 Using Natural Phenomena to Aid Food Produce Inspection
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    Chapter 5 Colour Sorting in the Food Industry
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    Chapter 6 Surface Defect Detection on Ceramics
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    Chapter 7 On-line Automated Visual Grading of Fruit: Practical Challenges
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    Chapter 8 Vision-based Quality Control in Poultry Processing
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    Chapter 9 Quality Classification of Wooden Surfaces Using Gabor Filters and Genetic Feature Optimisation
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    Chapter 10 An Intelligent Approach to Fabric Defect Detection in Textile Processes
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    Chapter 11 Automated Cutting of Natural Products: A Practical Packing Strategy
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    Chapter 12 Model-based Stereo Imaging for Estimating the Biomass of Live Fish
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    Chapter 13 A System for Estimating the Size and Shape of Live Pigs
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    Chapter 14 Sheep Pelt Inspection
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    Chapter 15 Design of Object Location Algorithms and Their Use for Food and Cereals Inspection
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    Chapter 16 X-ray Bone Detection in Further Processed Poultry Production
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    Chapter 17 Final Remarks
Attention for Chapter 15: Design of Object Location Algorithms and Their Use for Food and Cereals Inspection
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