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Information
| Code | BMM038 |
| Name | Applied Digital Image Processing |
| Term | 2023-2024 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. AHMET AYDIN |
Course Goal / Objective
Teaching the students fundamentals of digital image processing and applying those methods on sample images.
Course Content
Fundamentals of Digital Images, Conerting Between Classes, Intensity Transformation Functions, Histogram Processing, Spatial Filtering, 2D Fourier Transform, Flterinf in the Frequency Domain, Noise Models, Image Reconstruction, Geometric Transformations, Color Image Processing, Morphological Image Processing, Image Segmentation
Course Precondition
None
Resources
Gonzalez, R. C., Woods, R. E., Eddins, S. L., & Woods, R. E. (Richard E. (2004). Digital Image processing using MATLAB
Notes
Lecture notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Students learn digital image processing techniques and can use them |
| LO02 | Students learn and apply digital image filtering both in spatal and frequency domains |
| LO03 | Studenst learn and apply gometric traansformations. |
| LO04 | Students learn and apply image segmentation. |
| LO05 | Students learn and apply morphological image processing. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To be able to solve scientific problems encountered in the field of medicine and medical technologies by applying current and advanced technical approaches of mathematics, science and engineering sciences. | 5 |
| PLO02 | Yetkinlikler - Öğrenme Yetkinliği | To have a knowledge of the literature related to a sub-discipline of biomedical engineering, to define and model current problems. | 4 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Ability to analyze data, design and conduct experiments, and interpret results | 4 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Developing researched contemporary techniques and computational tools for engineering applications | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be able to analyze and design a process in line with a defined target | 5 |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Conducting scientific studies with a medical doctor from an engineering perspective. | 4 |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing own findings orally and in writing, clearly and concisely. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to act independently, set priorities and creativity. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Being aware of national and international contemporary scientific and social problems in the field of Biomedical Engineering. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | To be able to evaluate the contribution of engineering solutions to problems in medicine, medical technologies and health in a global and social context. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction | Reading Chapter 1 | Öğretim Yöntemleri: Anlatım |
| 2 | Digital Image Representation, Reading and Writing Images, Image Types | Reading Chapter 2 | Öğretim Yöntemleri: Anlatım |
| 3 | Intensity Transformation, Histogram Processing | Section 3.1, 3.2, 3.3 | Öğretim Yöntemleri: Anlatım |
| 4 | Spatial Filtering | Section 3.4 | Öğretim Yöntemleri: Anlatım |
| 5 | 2D Discrete Fourier Transform, Frequency Domain Filterin - I | Section 4.1, 4.2, 4.3 | Öğretim Yöntemleri: Anlatım |
| 6 | Frequency Domain Filterin - II | Section 4.4, 4.5, 4.6 | Öğretim Yöntemleri: Anlatım |
| 7 | Noise Models, Image Reconstruction, Image Reconstruction from Projections | Section 5.1, 5.2, 5.11 | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Lecture Notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Geometric Transformations | Section 6.1, 6.2, 6.3 | Öğretim Yöntemleri: Anlatım |
| 10 | Color Image Processing | Chapter 7 | Öğretim Yöntemleri: Anlatım |
| 11 | Morphological Image Processing | Chapter 10 | Öğretim Yöntemleri: Anlatım |
| 12 | Image Segmentation I | Section 11.1, 11.2,11.3 | Öğretim Yöntemleri: Anlatım |
| 13 | Image Segmentation II | Section 11.4, 11.5 | Öğretim Yöntemleri: Anlatım |
| 14 | Semester Project - I | Example Projescts | Öğretim Yöntemleri: Anlatım |
| 15 | Semester Project - II | Example Projescts | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Lecture Notes | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Lecture Notes | Ölçme Yöntemleri: Yazılı Sınav |
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 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||