National University of Sciences and Technology
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MTS-811 Image Processing for Intelligent Systems
Campus College of E&ME
Programs PG
Session Spring Semester 2017
Course Title Image Processing for Intelligent Systems
Course Code MTS-811
Credit Hours 3-0
Pre-Requisutes None
Course Objectives
  • This course presents the theory and practice of digital image processing with Matlab. Numerous examples and practical hands-on exercises are included in the course.
  • One major topic of image processing is covered in every lecture, typically consists of a discussion of the basic theoretical concepts and some examples illustrating practical imaging problems.
  • The course will also deal with the application of the techniques in a simulated robot soccer environment.
Detail Content
  • Introduction to Image Processing
  • Image Processing Fundamentals
  • Image Enhancement in Spatial Domain
  • Image Enhancement in Frequency Domain
  • Image Restoration
  • Geometric transformations
  • Colour Image Processing
  • Image compression
  • Case studies pertaining to intelligent systems
  • Implementation of techniques in Robot Soccer and manufacturing environment
Course Outcomes:

S.No Outcomes Level of Learning
Plo 
a Process images in special and frequency domain
3 4
b Implement image restoration and geometric transformation 3 4
c  Process coloured images 3 4
d  Implement compression algorithm 3 4
e  Analyze case studies pertaining to intelligent systems 4 11
f Implement image processing techniques to intelligent systems 3 11
Text/Ref Books
  • Digital Image Processing, R. C. Gonzalez and R. E. woods, 2nd edition, Pearson Education, Inc., 2002.
  • Additional readings: Digital Image Processing using MATLAB, R. C. Gonzalez,R. E. Woods and S.L. Eddins, Pearson Education, Inc., 2004.
Time Schedule Spring Semester 2017
Faculty/Resource Person Dr. Waqar Shahid Qurashi
Dr. of Engineering (Mechatronics) AIT Thailand
Machine Vision, Image Processing