Machine Vision for the Inspection of Natural Products

This book will sell because it enables manufacturers of products involving natural materials to do so more reliably, safely and efficiently while relieving humans of the tedious and repetitive tasks previously associated with the inspection of less regular or well ordered products.

Inspection of any production process can be tedious and repetitive and humans make mistakes. This book shows how even natural products with a high degree of variation can be subjected to the untiring and less error-prone inspection of a machine. Gives practical advice on the implementation of systems for the inspection of a wide variety of naturally occurring materials from stones to live animals. Includes supplementary material: sn.pub/extras

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

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