Ebook: Machine Vision for the Inspection of Natural Products

Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features:
- Case studies based on real-world problems to demonstrate the practical application of machine vision systems.
- In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing.
- Systems-level integration of constituent technologies for bespoke applications across a variety of industries.
- A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles.
Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

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Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features:
- Case studies based on real-world problems to demonstrate the practical application of machine vision systems.
- In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing.
- Systems-level integration of constituent technologies for bespoke applications across a variety of industries.
- A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles.
Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

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Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features:
- Case studies based on real-world problems to demonstrate the practical application of machine vision systems.
- In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing.
- Systems-level integration of constituent technologies for bespoke applications across a variety of industries.
- A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles.
Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

Content:
Front Matter....Pages i-xxiv
Like Two Peas in a Pod....Pages 1-33
Basic Machine Vision Techniques....Pages 35-86
Intelligent Image Processing....Pages 87-140
Using Natural Phenomena to Aid Food Produce Inspection....Pages 141-161
Colour Sorting in the Food Industry....Pages 163-189
Surface Defect Detection on Ceramics....Pages 191-213
On-line Automated Visual Grading of Fruit: Practical Challenges....Pages 215-239
Vision-based Quality Control in Poultry Processing....Pages 241-258
Quality Classification of Wooden Surfaces Using Gabor Filters and Genetic Feature Optimisation....Pages 259-277
An Intelligent Approach to Fabric Defect Detection in Textile Processes....Pages 279-304
Automated Cutting of Natural Products: A Practical Packing Strategy....Pages 305-329
Model-based Stereo Imaging for Estimating the Biomass of Live Fish....Pages 331-345
A System for Estimating the Size and Shape of Live Pigs....Pages 347-366
Sheep Pelt Inspection....Pages 367-392
Design of Object Location Algorithms and Their Use for Food and Cereals Inspection....Pages 393-420
X-ray Bone Detection in Further Processed Poultry Production....Pages 421-449
Final Remarks....Pages 451-457
Back Matter....Pages 459-471

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Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features:
- Case studies based on real-world problems to demonstrate the practical application of machine vision systems.
- In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing.
- Systems-level integration of constituent technologies for bespoke applications across a variety of industries.
- A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles.
Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

Content:
Front Matter....Pages i-xxiv
Like Two Peas in a Pod....Pages 1-33
Basic Machine Vision Techniques....Pages 35-86
Intelligent Image Processing....Pages 87-140
Using Natural Phenomena to Aid Food Produce Inspection....Pages 141-161
Colour Sorting in the Food Industry....Pages 163-189
Surface Defect Detection on Ceramics....Pages 191-213
On-line Automated Visual Grading of Fruit: Practical Challenges....Pages 215-239
Vision-based Quality Control in Poultry Processing....Pages 241-258
Quality Classification of Wooden Surfaces Using Gabor Filters and Genetic Feature Optimisation....Pages 259-277
An Intelligent Approach to Fabric Defect Detection in Textile Processes....Pages 279-304
Automated Cutting of Natural Products: A Practical Packing Strategy....Pages 305-329
Model-based Stereo Imaging for Estimating the Biomass of Live Fish....Pages 331-345
A System for Estimating the Size and Shape of Live Pigs....Pages 347-366
Sheep Pelt Inspection....Pages 367-392
Design of Object Location Algorithms and Their Use for Food and Cereals Inspection....Pages 393-420
X-ray Bone Detection in Further Processed Poultry Production....Pages 421-449
Final Remarks....Pages 451-457
Back Matter....Pages 459-471
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