PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 516	IMAGE PROCESSING AND ENGINEERING APPLICATIONS	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The aim of this course is to teach fundamentals of digital image processing and its engineering applications.
Course Content	Basic image processing algorithms, two-dimensional filter design, two-dimensional z transform and discrete Fourier transform, edge detection methods, image restoration, image recognition, image coding and industrial applications.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.

COURSE LEARNING OUTCOMES

1	Defines basic imaging concepts
2	Explains histogram processing techniques
3	Explains image filtering and edge detection
4	Explains color space and color image processing
5	Explains image compression
6	Explains fundamental pattern recognition approaches

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	3	3	3	5							5
LO 002	5	5	3	3	5							5
LO 003	5	5	5	3	5							5
LO 004	5	3	3	3	5							5
LO 005	5	5	2	3	5							5
LO 006	5	5	5	5	5							5
Sub Total	30	26	21	20	30							30
Contribution	5	4	4	3	5	0	0	0	0	0	0	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Mid-terms	1	21	21
Final examination	1	40	40
Report / Project	1	50	50
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2016-2017 Fall	1	MERİÇ ÇETİN

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester	Mode of Delivery
CENG 516	IMAGE PROCESSING AND ENGINEERING APPLICATIONS	3 + 0	1	Turkish	2016-2017 Fall	Face to Face

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. MERİÇ ÇETİN	mcetin@pau.edu.tr		MUH A04140	%60

Goals		The aim of this course is to teach fundamentals of digital image processing and its engineering applications.
Content		Basic image processing algorithms, two-dimensional filter design, two-dimensional z transform and discrete Fourier transform, edge detection methods, image restoration, image recognition, image coding and industrial applications.

Topics

Weeks	Topics
1	Introduction, color space, grayscale and colorful images, image types
2	Fundemental image processing methods
3	Image histograms, image filtering
4	Edge detection methods
5	Morphologic operations
6	Image segmentation
7	Image segmentation
8	Midterm exam
9	Home presentations
10	Image registration
11	Image registration
12	Image restoration
13	Image restoration
14	Final exam

Materials

Materials are not specified.

Resources

Resources	Resources Language
C.Solomon and T.Breckon, “Fundamentals of Digital Image Processing”, Wiley-Blackwell 2011	English
R.C. Gonzalez and R.E. Woods, “Digital Image Processing”, 3rd Ed., Prentice-Hall, 2008	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student