Machine VIsion Prod 7th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective II) detail syllabus for Production Engineering (Prod), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (PR8004), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other prod 7th sem syllabus for be 2017 regulation anna univ you can visit Prod 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective II subjects do refer to Professional Elective II. The detail syllabus for machine vision is as follows.
Course Objective:
- To understand the principle, importance and application of machine vision system in Manufacturing and measurement.
Unit I
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Unit II
Image Acquisition and Conversion
Colour systems – light sources – lighting techniques – image formation by lensing – image scanning -television cameras – sensors, charge coupled devices – camera and system interface – frame buffers and frame grabbers – digital and smart camers.
Unit III
Image Processing Decision Making
Processing of binary images – thresholding, geometrical properties, topological properties -processing of gray scale images statistical operations, spatial operations, segmentation edge detection, morphological operations – image analysis – factors extraction – decision making.
Unit IV
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Unit V
Machine Vision Applications
Applications in user industries automotive, semiconductor, electronic manufacturing, printing industries etc. – generic applications founding manufacturing metrology, inspection assembly verification – application analysis and implementation.
Course Outcome:
Upon completion of this course student can able to
- Understand the Machine vision principle.
- Understand the image acquisition and conversion principle.
- Understand the image processing procedures.
- Use machine vision techniques to pattern recognizing.
- Understand the use of machine vision in manufacturing industries in process implementation, assembly.
Text Books:
- Milan sonka, Vaclav hlavac, roger boyie, “Image Processing”, “Analysis and machine vision” Cengage Learning India Pvt Ltd (2008)
References:
- Richard O.Duda, Peter E. Hurt, Pattern Classification and Scene Analysis,Johnweily Publisher, 2000.
- Rafael C. Gonzaies, Richard E. Woods, Digital Image processing ,pearson, 2009
- Nella zuech, Understanding and applying machine vision Marceldekker Inc. 2000.
For detail syllabus of all other subjects of BE Prod, 2017 regulation do visit Prod 7th Sem syllabus for 2017 Regulation.
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