ACADEMICS
Course Detail

ELE 775 Image Processing
2016-2017 Spring term information

The course is not open this term

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://ects.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.

ELE775 - IMAGE PROCESSING

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
IMAGE PROCESSING ELE775 Any Semester/Year 3 0 3 10
Prerequisite(s)
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
 
Instructor (s)Assist. Prof. Dr. A.Semih Bingöl 
Course objectiveIn order to equip the students with the capability to solve real-life problems in image processing, this course aims to teach the following topics to the students: basic concepts of image processing , image enhancement, restoration and compression, image segmentation and image representation for object recognition  
Learning outcomes
  1. Know the basic concepts and approaches in image processing,
  2. Apply the techniques and algorithms s/he learnt in the class in real-life applications,
  3. Have the adequate knowledge to follow and understand advanced up-to-date image processing techniques.
Course ContentBasics of image processing: Spatial and Frequency Domains.
Image enhancement.
Image restoration.
Multiresolution image processing.
Image compression.
Image segmentation.
Image representation and description for object recognition.
 
ReferencesGonzalez R. C., Woods R. E., Digital Image Processing, 3rd ed., Prentice-Hall, 2008. 

Course outline weekly

WeeksTopics
Week 1Basic concepts in image processing
Week 2Image enhancement in the spatial domain
Week 3Image transforms
Week 4Image enhancement in the frequency domain
Week 5Image restoration
Week 6Color spaces and color image processing
Week 7Multiresolution image processing: Wavelets
Week 8Midterm Exam
Week 9Image compression
Week 10Image coding
Week 11Morphologic operations
Week 12Image segmentation
Week 13Image representation and description
Week 14Introduction to object recognition
Week 15Preparation week for final exams
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments840
Presentation00
Project00
Seminar00
Midterms120
Final exam140
Total100
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040
Total100

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1410140
Presentation / Seminar Preparation000
Project000
Homework assignment8972
Midterms (Study duration)12020
Final Exam (Study duration) 12525
Total Workload3867249

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has highest level of knowledge in certain areas of Electrical and Electronics Engineering.    X
2. Has knowledge, skills and and competence to develop novel approaches in science and technology.    X
3. Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research.    X
4. Can independently carry out all stages of a novel research project.    X
5. Designs, plans and manages novel research projects; can lead multidisiplinary projects. X   
6. Contributes to the science and technology literature.    X
7. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English.   X 
8. Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them. X   

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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