TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| ELECTRICAL-ELECTRONICS ENGINEERING (MASTER) (WITH THESIS) (ENGLISH) | |
| Code | EE622 |
| Name | Digital Image Processing |
| Term | 2018-2019 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SAMİ ARICA |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course introduces the fundamental concepts and methods of image processing and analysis.
Course Content
Mathematical representation of images. Image enhancement. Image restoration. Color image processing. Image segmentation. Image compression.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Analyzes general terminology of digital image processing. |
| LO02 | Examines various types of images, intensity transformations and spatial filtering. |
| LO03 | Develops Fourier transform for image processing in frequency domain. |
| LO04 | Evaluates the methodologies for image segmentation, restoration, topology, etc. |
| LO05 | Implements image process and analysis algorithms. |
| LO06 | Applies image processing algorithms in practical applications. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Being able to specialize in at least one of the branches that form the foundations of electrical-electronic engineering by increasing the level of knowledge beyond the undergraduate level. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | To comprehend the integrity of all the subjects included in the field of specialization. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Knowing and following the current scientific literature in the field of specialization | 5 |
| PLO04 | Bilgi - Kuramsal, Olgusal | To be able to comprehend the interdisciplinary interaction of the field with other related branches. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to do theoretical and experimental work | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | To create a complete scientific text by compiling the information obtained from the research. | |
| PLO07 | Bilgi - Kuramsal, Olgusal | To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor. | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. | 4 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Knowledge of English at a level that can easily read and understand a scientific text written in English in the field of specialization | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Compile information on his/her expertise in a presentation format and present it understandably and effectively. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise. | 4 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Being able to guide and take the initiative in environments that require solving problems related to the field | |
| PLO13 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Ability to communicate with people in an appropriate language | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements | 4 |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Ability to research new topics based on existing research experience | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction, image representations. | Textbook reading/Problem solving. | |
| 2 | Image Enhancement in Spatial Domain. Histogram Transformation. | Textbook reading/Problem solving/Computer application. | |
| 3 | Image Enhancement in Spatial Domain. Histogram Transformation (continued). Assigment I. | Textbook reading/Problem solving/Computer application. | |
| 4 | Noise Reduction. Assigment II. | Textbook reading/Problem solving/Computer application. | |
| 5 | Image enhancement in frequency domain. | Textbook reading/Problem solving/Computer application. | |
| 6 | Image enhancement in frequency domain (continued). Assigment III. | Textbook reading/Problem solving/Computer application. | |
| 7 | Image restoration. | Textbook reading/Problem solving/Computer application. | |
| 8 | Mid-Term Exam | Textbook reading/Problem solving/Computer application. | |
| 9 | Image restoration (continued). Assigment IV. | Textbook reading/Problem solving/Computer application. | |
| 10 | Color image processing. | Textbook reading/Problem solving/Computer application. | |
| 11 | Color image processing (continued). Assigment V. | Textbook reading/Problem solving/Computer application. | |
| 12 | Image segmentation. | Textbook reading/Problem solving/Computer application. | |
| 13 | Image segmentation (continued). Assigment VI. | Textbook reading/Problem solving/Computer application. | |
| 14 | Image compression. | Textbook reading/Problem solving/Computer application. | |
| 15 | Image compression (continued). Assigment VII. | Textbook reading/Problem solving/Computer application. | |
| 16 | Term Exams | ||
| 17 | Term Exams |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 6 | 84 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 7 | 4 | 28 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 2 | 2 |
| Final Exam | 1 | 2 | 2 |
| Total Workload (Hour) | 158 | ||
| Total Workload / 25 (h) | 6,32 | ||
| ECTS | 6 ECTS | ||