Akademik Dersler - Tanıtım


Code - Course Title	EEM463 - Introduction to Image Processing
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	5.0
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ONUR KILINÇ
Mode of Delivery	Face to face
Prerequisites	There is no prerequisites or co-requisites for this course.
Courses Recomended	EEM 301 - Signals and Systems
Required or Recommended Resources	R.C.Gonzalez, R.E.Woods, Digital Image Processing, Third Edition, 2008.
Recommended Reading List	-
Assessment methods and criteria	Midterm (1), term project, final exam
Work Placement	Class
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction & Fundamentals
Week - 2	Introduction & Fundamentals (Cont.)
Week - 3	Interpolation Techniques
Week - 4	Intensity Transformations
Week - 5	Linear Filtering
Week - 6	Fourier Transform
Week - 7	Noise Models
Week - 8	Adaptive Filtering
Week - 9	Range Imaging
Week - 10	Spatial Filtering
Week - 11	Introduction to Image Morphology
Week - 12	Morphological Operations
Week - 13	Morphological Algorithms

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	30
Project	1	30
Final Exam	1	40
Toplam (%)		100