Machine vision has progressed in leaps and bounds since the disappointments in the eighties with tremendous results achievable today. Nowadays, machine vision systems are highly effective and a key part of many industrial systems ranging from mineral processing to manufacturing. It provides an intensive introduction to the process of generating a symbolic description of an environment from an image and also offers many opportunities for process optimization. This course is designed to help students to understand the fundamentals of selecting and setting up the appropriate machine vision and image processing hardware components, lightning techniques and optical filters. After completing this course, students will be aware of the image processing implications of various optical aberrations and valuate new methods of electro-optical compensation
WHO SHOULD COMPLETE THIS COURSE?
- Image scientists
- Quality engineers
- Imaging researchers
- Medical imagers
- Software and hardware engineers
- Production specialists
- Developers of vision applications
- Project managers
COURSE OUTLINE
MACHINE AND HUMAN VISION
- Introduction
- Block diagram of machine vision system
- Machine vision system components
- Design of an efficient Machine vision system
- Human Eye – Basic principles
COLOUR AND MACHINE VISION APPLICATIONS
- Visual sense and Visible spectrum
- Visual EM spectrum
- Colour properties and Eye
- Machine vision applications
- Examples
DIGITAL IMAGE PROCESSING AND DISCRETE FOURIER TRANSFORM
- Introduction
- Image Representation
- Fourier Transform
- Spectrum: Magnitude and Phase
- Discrete Fourier Transform
- Fast Fourier Transform
SAMPLING THEORY AND ALIASING
- Sampling
- Example
- Sampling Theorem
- Aliasing
FILTERING AND HISTOGRAM
- Smoothing filtering
- Spatial filtering
- Histogram
LIGHTING TECHNIQUES AND SOURCES
- Lighting
- Why is Lighting critical?
- Lighting Parameters
- Considerations for Lighting
- Lighting directions
- Ring Illuminator
- Structured Light
OPTICAL FILTERS AND DEVICES
- Optical Filters
- Optical Devices
- Lenses
- Mirrors
- Polarizers
SENSORS
- Sensors Usage
- CMOS Sensors
- CCD Sensors
- CCD Advantages
LENSES AND RESOLUTION
- Types of camera
- Camera formats
- Lens Mounts
- Field of View
- Evaluate Resolution
