EL7002 MACHINE VISION SYLLABUS FOR ME ECE 2ND SEMESTER

 ANNA UNIVERSITY, CHENNAI

REGULATIONS - 2013
EL7002 MACHINE VISION SYLLABUS

ME 2ND SEM ELECTRONICS AND COMMUNICATION ENGINEERING SYLLABUS

EL7002 MACHINE VISION SYLLABUS

OBJECTIVES:
 To impart knowledge about Digital Image Processing and Segmentation
 To equip the students with Boundary Detection
 To know about Image Representation, Matching and Inference

OUTCOMES:
Students will be able to
 Understand different types of Image transforms and Models
 Explain Image smoothening, Sharpening and Encoding
 Describe Boundary representation

UNIT I DIGITAL IMAGE PROCESSING FUNDAMENTALS
Digital image representation – an image model – digital image processing transforms – overview of L-transforms – transforms and Fourier Transforms

UNIT II IMAGE PROCESSING & SEGMENTATION
Image enhancement and image restoration – histogram modification techniques – image smoothening – image sharpening – algebraic approach to restoration – constrained and unconstrained restoration – image encoding – image segmentation and description – point and region dependent techniques.

UNIT III BOUNDARY DETECTION
Edge finding – surface orientation – optical flow – design – growing

UNIT IV IMAGE REPRESENTATION
Texture – texture as pattern recognition problem – two and three dimensional geometric structures – boundary representation- regions representation – shape properties – knowledge representation and use

UNIT V MATCHING AND INFERENCE
Semantic nets – matching – inference – computer reasoning – production systems – active knowledge – goal achievement

TOTAL: 45 PERIODS

REFERENCES:
1. Computer Vision, A modern Approach by Forsyth and Ponce, Pearson Education, 2003.
2. Rosenfeld A and Kak A.C., “Digital Picture Processing”, Academic Press, 2002
3. Ballard B and Brown B, “Computer Vision”, Prentice Hall of India, 2002
4. Mallot, Computational Vision: Information Processing in Perception and Visual Behavior. Cambridge, MA: MIT Press, 2000.
4. Gonzalez.R and Wintz.P, Digital Image Processing, Addison Wesley Publishing Co. USA, 2007.