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Machine Vision Handbook

The automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture - lenses, cameras, scanners and light sources - are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications of machine vision in inspecting and handling different types of object.

Machine Vision: a subset of Systems Engineering

Machine Vision is concerned with the engineering of integrated mechanical-optical-electronic-software systems for examining natural objects and materials, human artifacts and manufacturing processes, in order to detect defects and improve quality, operating efficiency and the safety of both products and processes. It is also used to control machines used in manufacturing. Machine Vision necessarily involves the harmonious integration of elements of the following areas of study

• Mechanical handling
        

• Lighting
        

• Optics (conventional, fibre optics, lasers, diffractive optics)
        

• Sensors (video cameras, UV, IR and X-ray sensors, laser scanners)
        

• Electronics (digital, analogue and video)
        

• Signal processing

• Image processing
        

• Digital systems architecture
        

• Software
        

• Industrial engineering
        

• Human-computer interfacing
        

• Control systems
        

• Manufacturing
        

• Existing work practices and QA methods

Machine Vision is distinct from Computer Vision, Image Processing, Artificial Intelligence & Pattern Recognition. Read the Machine Vision Handbook to find out why.

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