Machine Vision (Dept Elec - III) (2182006)   Old Code : 182006


[PDF]
5
Credit
3 + 0 + 2
Lect + Tuto + Pract
Teaching Scheme
70 + 20 + 10
ESE + PA + ALA
Theory Marks
20 + 10 + 20
ESE + OEP + PA
Practical Marks
ESE - End Semester Examination, PA - Progress Assessment, ALA - Active Learning Assignments, OEP -Open Ended Problem


Prerequisite
N.A.
Rationale
This subject is designed to understand the various image processing techniques to enhance the digital image for different applications. Enormous applications of digital image processing are covered in this syllabus to make it a multidisciplinary course. Importance of digital image processing is revealed in the content such as image enhancement, restoration, filtering, etc.
Course Outcome
After learning the course the students should be able to:
1. Enhance digital image using various algorithms with the help of computer programming.
2. Understand the role of image processing in different fields such as medical, engineering, space,biotechnology, ocean, agriculture, food industry, etc.
3. Realize the significance of digital image processing in automation.
4. Know the mathematical calculations of basic filters used in digital image enhancement.

Active Learning
Preparation of power-point slides, which include videos,animations, pictures, graphics for better understanding theory and practical work – The faculty will allocate chapters/ parts of chapters to groups of students so that the entire syllabus to be covered. The power-point slides should be put up on the web-site of the College/ Institute, along with the names of the students of the group, the name of the faculty, Department and College on the first slide. The best three works should submit to GTU.
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