CSS221 Image Processing Tecniques

3 ECTS - 2-1 Duration (T+A)- 3. Semester- 2.5 National Credit

Information

Unit TECHNICAL SCIENCES VOCATIONAL SCHOOL
GEOGRAPHICAL INFORMATION SYSTEMS PR.
Code CSS221
Name Image Processing Tecniques
Term 2017-2018 Academic Year
Semester 3. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2.5 National Credit
Teaching Language Türkçe
Level Üniversite Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör. MEHMET AKİF ERDOĞAN
Course Instructor Öğr. Gör. MEHMET AKİF ERDOĞAN (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

To teach low and intermediate level image processing techniques and their applications in IDL software.

Course Content

Basic image characteristics, image formats, image generation and conversion, image processing, image processing software practices

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Perception of digital image concept
LO02 Understanding the elements of digital image processing
LO03 Learning the principles of digital imaging
LO04 Comprehension of visual perception elements
LO05 Perception of histogram concept in digital image
LO06 Understanding cobcept of digital image editing
LO07 Learning image enhancement applications
LO08 Midterm Exam
LO09 Perception of non-linear image enhancement approaches
LO10 Ability to filter objects from digital images
LO11 Comprehension of low and high frequency filtering techniques
LO12 Learning edge detection algoritms
LO13 Understanding of noise suppression techniques
LO14 Understanding image segmentation applications
LO15 Learning morphological processes


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - In mathematics, science, and issues related to their areas to have adequate infrastructure.
PLO02 - Using the basic level knowledge and skills in the field, interpret and evaluate data, identify problems, develop solutions to have the ability.
PLO03 - Knows the concepts related to Geographic Information Systems, Knows the use of GIS software
PLO04 - Awareness of the need for life-long learning, to follow developments in science and technology and continuous self-renewal with the skill.
PLO05 - Following the application of production processes in industrial and service sector to have the ability.
PLO06 - The ability to perform drawings of vocational plans and projects related to the field wins.
PLO07 - To recognize the corporate structure of the company for the profession and have the entrepreneurial spirit.
PLO08 - To show what they have learned and can apply independently to learn in the field of GIS and have the ability to act independently to take risks.
PLO09 - Modern techniques that are necessary on the field, and specify the information technologies and effective tools to use.
PLO10 - To have knowledge of GIS and produce project and apply knowledge.
PLO11 - Design using simulation programs related to computer-aided drawing and field and professional plan and gain the ability to perform the drawings of the project.
PLO12 - Respect for historical values, social responsibility, global, to have a social and professional ethics.
PLO13 - Innovations in the field of effective communication techniques and be able to follow the judge to have knowledge of a foreign language.
PLO14 - To produce a solution for problems related to GIS, to take responsibility for the team or individual it will be equipped with the ability to work.
PLO15 - Occupational safety, health and environmental protection, and to be conscious.
PLO16 - Required by the field to be able to use basic computer software and hardware.


Week Plan

Week Topic Preparation Methods
1 Contents, Application Areas, Definitions, History Literature readin
2 Elements of Digital Image Processing, Digitizers, Image Processor, Display Literature reading and course review
3 Digital Image Fundamentals, Uniform Sampling Literature reading and course review
4 Elements of Visual Perception Literature reading and course review
5 Gray-level Histogram Literature reading and course review
6 Image Enhancement, Image Brightness Modification, Threshold Literature reading and course review
7 Contrast Enhancement, Linear Contrast Enhancement Literature reading and course review
8 Midterm Exam Literature reading and course review
9 Non-linear Enhancement Literature reading and course review
10 Object Filtering Literature reading and course review
11 Low Frequency Filters, High Frequency Filters Literature reading and course review
12 Different edge detection methods Literature reading and course review
13 Noise Suppression Literature reading and course review
14 Image Segmentation Literature reading and course review
15 Morphological Operations Literature reading and course review
16 Final exam Literature reading and course review
17 Final exam Literature reading and course review


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 50 20
1. Homework 50 20
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100

Update Time: 21.10.2017 09:50