This article is about the subject code MR3701 – Machine Vision Systems Syllabus from Anna University based on regulation 2021 relating to affiliated institutions awarding B.E Mechatronics Engineering semester VII subjects. Let’s see…
We tried our best to provide the details of the subject its main concept, and the unit-wise syllabus to help you to refer the concepts from syllabus according to weightage. We have taken advice from expert faculty regarding the textbooks and references. I hope this information is useful. Kindly share it with your classmates.
If you want to know more about the syllabus of B.E Mechatronics Engineering connected to an affiliated institution’s four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E. Mechatronics Engineering Syllabus Regulation 2021 Anna University.
Aim Of Concept:
- To introduce the various concepts in machine vision
- To understand the concepts in image acquisition
- To learn about a various basics in image processing
- To knowledge about the feature extraction and vision techniques
- To understand the various applications in machine vision
MR3701 – Machine Vision Systems Syllabus
Unit I: Introduction
Human vision – Machine vision and Computer vision – Benefits of machine vision – Block diagram and function of machine vision system implementation of industrial machine vision system – Physics of Light – Interactions of light – Refraction at a spherical surface – Thin Lens Equation
Unit II: Image Acquisition
Scene constraints – Lighting parameters – Lighting sources, Selection – Lighting Techniques – Types and Selection – Machine Vision Lenses and Optical Filters, Specifications and Selection – Imaging Sensors – CCD and CMOS, Specifications – Interface Architectures – Analog and Digital Cameras – Digital Camera Interfaces – Camera Computer Interfaces, Specifications and Selection – Geometrical Image formation models – Camera Calibration
Unit III: Image Processing
Machine Vision Software – Fundamentals of Digital Image – Image Acquisition Modes – Image Processing in Spatial and Frequency Domain – Point Operation, Thresholding, Grayscale Stretching – Neighborhood Operations, Image Smoothing and Sharpening – Edge Detection – Binary Morphology – Colour image processing.
Unit IV: Feature Extraction
Feature extraction – Region Features, Shape and Size features – Texture Analysis – Template Matching and Classification – 3D Machine Vision Techniques – Decision Making.
Unit V: Machine Vision Applications
Machine vision applications in manufacturing, electronics, printing, pharmaceutical, textile, applications in non-visible spectrum, metrology and gauging, OCR and OCV, vision guided robotics – Field and Service Applications – Agricultural, and Bio medical field, augmented reality, surveillance, bio-metrics.
Text Books:
- Eugene Hecht, A. R. Ganesan “Optics”, Fourth Edition, 2008
- Alexander Hornberg, “Handbook of Machine Vision”, First Edition, 2006
References:
- Emanuele Trucco, Alessandro Verri, “Introductory Techniques For 3D Computer Vision”, First Edition, 1998
- Rafael C. Gonzales, Richard. E. Woods, “Digital Image Processing Publishers”, Fourth Edition, 1992
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