Machine Vision detailed syllabus for Mechanical Engineering (MECH) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the MECH students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Mechanical Engineering 8th Sem scheme and its subjects, do visit MECH 8th Sem 2019 regulation scheme. For Professional Elective-VI scheme and its subjects refer to MECH Professional Elective-VI syllabus scheme. The detailed syllabus of machine vision is as follows.
Course Objective:
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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
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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 – Color image processing.
Unit IV
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Unit V
Machine Vision Applications
Machine Vision Applications in Manufacturing, Electronics, Printing, Pharmaceutical, Textile, Applications in Non-Visible Spectrum, Metrology, Vision Guided Robotics – Field and Service Applications – Agricultural, and Bio Medical Field, Augmented Reality, Surveillance, Bio-Metrics .
Course Outcome:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Text Books:
- AlexandaerHornberg, “Hand Book of Machine Vision”, Wiley-VCH, 2006.
- Davies E.R., “Machine Vision Theory, Algorithms and Practicalities”, Elsevier, 2005.
References:
- NelloZuech, “Understanding and Applying Machine Vision”, Marcel Decker, 2000.
- Bruce Batchelor and Frederick Waltz, “Intelligent Machine Vision Techniques, Implementations and Applications”, Springer-Verlag, 2001.
- Rafael C. Gonzales, Richard. E. Woods and Steven L. Eddins, “Digital Image Processing Using MATLAB”, McGraw Hill Education, 2014.
- Milan Sonka, Vaclav Hlavac and Roger Boyle, “Image Processing, Analysis, and Machine Vision”, Cengage Learning, 2014.
- Malay K. Pakhira, “Digital Image Processing and Pattern Recognition”, PHI Learning, 2011.
- Chanda B. and Dutta Majumder D., “Digital Image Processing and Analysis”, PHI Learning, 2011.
For detailed syllabus of all the other subjects of Mechanical Engineering 8th Sem, visit MECH 8th Sem subject syllabuses for 2019 regulation.
For all Mechanical Engineering results, visit Anna University MECH all semester results direct link.