Anna University B.Tech PR (R13) 7th Sem Machine Vision Detailed Syllabus

Machine Vision Systems Syllabus for B.Tech 7th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.

The detailed syllabus for Machine Vision B.Tech (R13) seventhsem is as follows

OBJECTIVES:

To understand the principle, importance and application of machine vision system in Manufacturing and measurement.

UNIT I : INTRODUCTION TO MACHINE VISION     [6 Hours]
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 Hours]
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 Hours]
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.

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[TOTAL: 45 PERIODS]

OUTCOMES

• Use of machine vision techniques to pattern recognizing.  Use of machine vision in manufacturing industries in process implementation, assembly.

TEXTBOOK

• 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 Publisher, 1973
• Rafael C. Gonzaies, Richard E. Woods, Digital Image processing publisher, 1992
• Nella zuech, ‘Understanding & applying machine vision Marceldekker Inc. 2000.

For all other B.Tech PR 7th sem syllabus go to Anna University B.Tech PRODUCTION ENGINEERING (PR) 7th Sem Course Structure for (R13) Batch.All details and yearly new syllabus will be updated here time to time. Subscribe, like us on facebook and follow us on google plus for all updates.

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