Future University In Egypt (FUE)
Future University is one of most promising private universities in Egypt. Through excellence in teaching, research and service, Future University strives to provide a comprehensive, high-quality education that prepares our graduates to be future leaders.
mainLogo
90th Street
New Cairo
Egypt

Course List

Image Processing

  • Course Code :
    DM432
  • Level :
    Undergraduate
  • Course Hours :
    3.00 Hours
  • Department :
    Digital Media Technology

Instructor information :

Area of Study :

•Define the fundamental techniques, algorithms and tools used for acquiring, processing and extracting useful information from digital images. •Understand knowledge that enhances skills in image sampling and quantization, image transforms, image enhancement and restoration, image encoding, image analysis and pattern recognition. •Use and adopt fundamental and advanced mathematics, basic sciences and theories to develop and use the tools of digital image processing (DIP) to solve any new problem.

For further information :

Image Processing

The objective of this course is to introduce the students to the fundamental techniques and algorithms used for acquiring, processing and extracting useful information from digital images. Particular emphasis will be placed on covering methods used for image sampling and quantization, image transforms, image enhancement and restoration, image encoding, image analysis

For further information :

Image Processing

Course outcomes:

a. Knowledge and Understanding:

1- Describe the fundamental mathematics and statistics required to solve problems in image processing field
2- Identify different tools of digital image processing (DIP) to solve image problems
3- Explain the principles and techniques to solve real-world problems in several areas including medical, remote sensing and surveillance

b. Intellectual Skills:

1- Illustrate a set of alternative solutions for a given problem associated with their results for image processing problems
2- Select appropriate methodologies and techniques to filter in frequency domain images problem solution and setting out their limitations, restrictions and errors
3- Classify methods, techniques and algorithms for restoration and segmentation techniques

c. Professional and Practical Skills:

1- Apply effective information to implement image processing systems
2- Deploy effective supporting tools to learn AI programming languages and different supporting image processing tool-boxes
3- Use human computer interaction principles in the construction and evaluation of user interfaces for wide ranges of image processing applications

d. General and Transferable Skills:

1- Exploit a range of learning resources
2- Work in a team to develop the requirement documentation
3- Apply communication skills in presentations and report writing using various methods and tools

For further information :

Image Processing

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Introduction to image processing 4 2 2
Digital Image Fundamentals 4 2 2
Digital Image Fundamentals 4 2 2
Dimensional Model Design 4 2 2
Image Enhancement (Histogram Processing) 4 2 2
Image Enhancement (Spatial Filtering 1) 4 2 2
Image Enhancement (Spatial Filtering 2) 4 2 2
Image Enhancement in Frequency domain 4 2 2
Mid Term Exam 2
Image Enhancement in Frequency domain 4 2 2
Image restoration 4 2 2
Image restoration 4 2 2
Project presentation 4 2 2
Final Exam 2

For further information :

Image Processing

Teaching And Learning Methodologies:

Teaching and learning methods
Interactive Lectures including discussion
Practical Lab Sessions
Self-Study (Project / Reading Materials / Online Material / Presentations)

For further information :

Image Processing

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What
Final Exam 40.00 14
Midterm Exam (s) 20.00 9
Practical Exam 10.00
Quizzes 10.00 5
Team Work Projects 20.00

For further information :

Image Processing

Books:

Book Author Publisher

Course notes :

Course Notes are available with all the slides used in lectures in electronic form on Learning Management System (Moodle)

Recommended books :

Kenneth R. Castliman, Digital Image Processing, Prentice-Hall, Inc., latest edition.

Web Sites :

• IEEE transactions on image processing • IEEE transactions on pattern analysis and machine intelligence

For further information :

Follow us on

Visit the Faculty

ADS