Akademik Dersler - Tanıtım


Code - Course Title	BİM472 - Image Processing
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	4.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ SELCAN KAPLAN BERKAYA
Mode of Delivery	The mode of delivery of this course is face to face.
Prerequisites	None.
Courses Recomended	Statistics, Linear Algebra.
Required or Recommended Resources	S. Theodoridis and K. Koutroumbas, Pattern Recognition (4th Edition), Academic Press, 2009.
Recommended Reading List	Digital Image Processing using MATLAB 2/E, Gonzalez, Woods, and Eddins, Prentice Hall, 2009.
Assessment methods and criteria	1 Midterm Exam, 1 Final Exam, Homeworks, Project.
Work Placement	None.
Sustainability Development Goals	Quality Education , Industry, Innovation and Infrastructure

Weeks	Topics
Week - 1	Introduction
Week - 2	MATLAB for Image Processing
Week - 3	Processing in Spatial Domain - Intensity Transformations
Week - 4	Processing in Spatial Domain - Spatial Filtering
Week - 5	Processing in Frequency Domain
Week - 6	Processing in Frequency Domain
Week - 7	Morphological Image Processing
Week - 8	Image Segmentation
Week - 9	Image Compression
Week - 10	Color Image Processing
Week - 11	Image Recognition
Week - 12	Image Recognition
Week - 13	Course Recap
Week - 14	Project Presentations

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0