PR2036 MACHINE VISION SYLLABUS | ANNA UNIVERSITY BE PRODUCTION ENGINEERING 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY 8TH SEMESTER B.E PRODUCTION ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
PR2036 MACHINE VISION L T P C
3 0 0 3 OBJECTIVE:
To understand the principle, importance and application of machine vision system in
Manufacturing and measurement
UNIT I INTRODUCTION TO MACHINE VISION 6
Machine Vision use of machine vision – tasks for a vision system – relation to other fields
– place of vision in CIM.
UNIT II IMAGE ACQUISITION AND CONVERSION 6
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 12
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 PATTERN RECOGNITION 9
Fundamentals – parametric classifiers – nonparametric, classifiers nearest neighbor
CART, neural networks, generic classifiers.
UNIT V MACHINE VISION APPLICATIONS 12
Applications in user industries automotive, semiconductor, electronic manufacturing,
printing industries etc. – generic applications founding manufacturing metrology,
inspection assembly verification – application analysis and implementation.
TOTAL: 45 PERIODS
REFERENCES:
1. Milan sonka, Vaclav hlavac, roger boyie, image processing, analysis and machine
vision publisher, 1995
2. Richard O.Duda, Peter E. Hurt, Pattern Classification and Scene Analysis Publisher,
1973
3. Rafael C. Gonzaies, Richard E. Woods, Digital Image processing publisher, 1992
4. Nella zuech, ‘Understanding & applying machine vision Marceldekker Inc. 2000.
PR2036 MACHINE VISION L T P C
3 0 0 3 OBJECTIVE:
To understand the principle, importance and application of machine vision system in
Manufacturing and measurement
UNIT I INTRODUCTION TO MACHINE VISION 6
Machine Vision use of machine vision – tasks for a vision system – relation to other fields
– place of vision in CIM.
UNIT II IMAGE ACQUISITION AND CONVERSION 6
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 12
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 PATTERN RECOGNITION 9
Fundamentals – parametric classifiers – nonparametric, classifiers nearest neighbor
CART, neural networks, generic classifiers.
UNIT V MACHINE VISION APPLICATIONS 12
Applications in user industries automotive, semiconductor, electronic manufacturing,
printing industries etc. – generic applications founding manufacturing metrology,
inspection assembly verification – application analysis and implementation.
TOTAL: 45 PERIODS
REFERENCES:
1. Milan sonka, Vaclav hlavac, roger boyie, image processing, analysis and machine
vision publisher, 1995
2. Richard O.Duda, Peter E. Hurt, Pattern Classification and Scene Analysis Publisher,
1973
3. Rafael C. Gonzaies, Richard E. Woods, Digital Image processing publisher, 1992
4. Nella zuech, ‘Understanding & applying machine vision Marceldekker Inc. 2000.
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