FK706 Introduction to Image Processing II

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code FK706
Name Introduction to Image Processing II
Term 2022-2023 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 Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HACI MUSTAFA KANDIRMAZ


Course Goal / Objective

In this course our aim is to give basics of image processing to students

Course Content

In this course informations about types of image, histogram, filtering and classification will be introduced

Course Precondition

none

Resources

Digital Digital Image processing-Rafael C. Gonzales, Richard E. Woods

Notes

Görüntü İşlemeye Giriş - Aybars UĞUR


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows properties of electromagnetic spectrum
LO02 Defines image and image formation
LO03 knows Image enhancement
LO04 Gets basics of image filtering
LO05 knows the basics of classification and classification types


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Based on the qualifications of the MA level, develops and deepens the current and advanced knowledge in the area by unique means of thinking and / or research at mastery level and comes up with original definitions which bring about novelty to the physics area. 2
PLO02 Bilgi - Kuramsal, Olgusal Use the equipment used in the field. 3
PLO03 Bilgi - Kuramsal, Olgusal Gain experience on experimental measurements and their graphical representation with appropriate units and accuracy 2
PLO04 Bilgi - Kuramsal, Olgusal Interpret observational and experimental results. 2
PLO05 Bilgi - Kuramsal, Olgusal Deduce from sources which are obtained by research during the process of preparing proficiency exam. 1
PLO06 Bilgi - Kuramsal, Olgusal Interpret information in their field written and oral 3
PLO07 Bilgi - Kuramsal, Olgusal Demonstrate the knowledge of appropriate mathematical techniques used in physics. 4
PLO08 Bilgi - Kuramsal, Olgusal Has a knowledge about the logic of scientific research. 2
PLO09 Bilgi - Kuramsal, Olgusal Makes use of the conceptual and practical knowledge acquired in the physics field at mastery level. 2
PLO10 Bilgi - Kuramsal, Olgusal Has attained advanced skills to apply research methods in studies related with the physics area. 3
PLO11 Bilgi - Kuramsal, Olgusal Develops a scientific method that brings innovation to science. 1
PLO12 Bilgi - Kuramsal, Olgusal Performs the critical analysis, synthesis and evaluation of new and complicated thought. 1
PLO13 Bilgi - Kuramsal, Olgusal Can demonstrate the ability to perform an independent research in a specific issue related to physics. 3
PLO14 Bilgi - Kuramsal, Olgusal Acts as a leader in environments where it is necessary to solve original and interdisciplinary problems. 1
PLO15 Bilgi - Kuramsal, Olgusal To keep track of the developments in physics and updates himself/herself invariably. 4
PLO16 Bilgi - Kuramsal, Olgusal Can calculate the predictions of a physical theory and compare with the experimental results.
PLO17 Bilgi - Kuramsal, Olgusal Comprehends the interdisciplinary interaction with which the physics area is related.
PLO18 Bilgi - Kuramsal, Olgusal Shares his/her ideas and suggestions for solutions to the physical problems with experts and non-experts by supporting them with quantitative and qualitative data.
PLO19 Bilgi - Kuramsal, Olgusal Can develop original solutions to physical problems.
PLO20 Bilgi - Kuramsal, Olgusal Can prepare a scientific article and can publish scientific articles about his/her field in international refereed journals.


Week Plan

Week Topic Preparation Methods
1 Electromagnetic radiation Read related documents Öğretim Yöntemleri:
Anlatım
2 Image acquisition Read related documents Öğretim Yöntemleri:
Anlatım
3 Image restoration Read related documents Öğretim Yöntemleri:
Anlatım
4 basic mathamatical operations Read related documents Öğretim Yöntemleri:
Anlatım
5 Image enhancement Read related documents Öğretim Yöntemleri:
Anlatım
6 Geo referencing Read related documents Öğretim Yöntemleri:
Anlatım
7 Some applications Read related documents Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Read related documents Ölçme Yöntemleri:
Yazılı Sınav
9 Image filtering Read related documents Öğretim Yöntemleri:
Anlatım
10 multi-spectral image processing Read related documents Öğretim Yöntemleri:
Anlatım
11 Image Classification Read related documents Öğretim Yöntemleri:
Anlatım
12 Classification models Read related documents Öğretim Yöntemleri:
Anlatım
13 Applications Read related documents Öğretim Yöntemleri:
Anlatım
14 Applications-continued Read related documents Öğretim Yöntemleri:
Anlatım
15 Project Applications Read related documents Öğretim Yöntemleri:
Anlatım
16 Project Applications-continued Read related documents Öğretim Yöntemleri:
Anlatım
17 Term Exams Read related documents 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 13 13
Final Exam 1 25 25
Total Workload (Hour) 150
Total Workload / 25 (h) 6,00
ECTS 6 ECTS

Update Time: 21.11.2022 11:50