Course Name Code Semester T+U Hours Credit ECTS
Image Processing For Mechatronics Engineers MEK 517 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Prof.Dr. RAŞİT KÖKER
Course Lecturers
Course Assistants Res. Asst. Ziya EKŞİ
Course Category Field Proper Education
Course Objective To learn the Image Processing basics, To understand the pattern recognition methods.
Course Content Introduction to digital image processing, two-dimensional systems, image enhancement, image coding and compression, image recognition , recognition and classification, image segmentation, advanced image recognition applications
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Recognizes the components of an image. Lecture, Testing, Homework,
2 Knows the image enhancement and restoration method Lecture, Question-Answer, Testing,
3 Uses the Image coding and compression Lecture, Testing, Homework,
4 Have information about the image recognition procedures Lecture, Question-Answer, Testing, Project / Design,
5 Uses the classification techniques Lecture, Project Based Learning, Testing, Project / Design,
6 Performs image recognition application using segmentation techniques Lecture, Project Based Learning, Testing, Project / Design,
7 Performs various pattern recognition applications
Week Course Topics Preliminary Preparation
1 Introduction to digital image processing
2 Two-dimensional systems image segmentation, advanced image recognition applications
3 Image enhancement
4 Image coding
5 Image compression
6 Introduction to Pattern Recognition
7 Recognition and classification
8 Recognition and classification
9 Segmentation
10 Segmentation
11 Advanced Pattern Recognition Applications
12 Advanced Pattern Recognition Applications
13 Advanced Pattern Recognition Applications
14 Advanced Pattern Recognition Applications
Resources
Course Notes
Course Resources 1. R. C. Gonzalez and P. Wintz, ?Digital Image Processing?, Second Edition, Addison-Wesley Publishing, 1987.
2. K. Castlemann. ?Digital Image Processing?, Prentice Hall of India Ltd., 1996.
3. A. K. Jain, ?Fundamentals of Digital Image Processing?, Prentice Hall of India Pvt. Ltd., 1995.
4. Sing Tze Bow, M. Dekker, ?Pattern Recognition and Image Processing?, 1992
5. M. James, ?Pattern Recognition?, BSP professional books, 1987.
6. P. Monique and M. Dekker, ?Fundamentals of Pattern Recognition?, 1989.
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 Develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in mechatronic engineering
3 Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement
4 Develop and use data processing and communication technologies together with the machine, electronic and computer software-hardware knowledge required by the field of mechatronic engineering expertise
5 Ability to complete and implement "limited or incomplete data" by using the scientific methods. X
6 Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
7 Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
8 Ability to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process
9 Gain high level ability to define the required information and data
10 Aware of new and developing application of profession and ability to analyze and study on those applications
11 Ability to interpret engineering applications social and environmental dimensions and it´s compliance with the social environment
12 At least be capable of oral and written communication in a foreign language
13 Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
14 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments
15 Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Kısa Sınav 10
1. Ödev 15
1. Proje / Tasarım 35
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 8 8
Quiz 1 2 2
Assignment 1 6 6
Project / Design 1 10 10
Final examination 1 10 10
Total Workload 148
Total Workload / 25 (Hours) 5.92
dersAKTSKredisi 6