Robot Vision (MECE445) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Robot Vision MECE445 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Experiment, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Fuad Aliew
Course Assistants
Course Objectives Deriving a symbolic description of the environment from an image and understanding physics of image formation. To introduce the student to computer vision algorithms, methods and concepts. To teach the fundamental concepts in computer vision and to prepare the student to design simple vision systems. To enable the students to implement vision systems to mechatronic systems. To familiarize students with typical vision hardware systems and software tools.
Course Learning Outcomes The students who succeeded in this course;
  • The course enables students to analyze and design a vision system which is a crucial data acquiring and preprocessing method in mechatronic systems where applicable.
Course Content An introduction to the algorithms and mathematical analysis associated with the visual process; binary image processing, regions and segmentation, edge detection, photometric stereo, stereo and calibration, introduction to dynamic vision and motion.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction, Robot Vision Overview (Relation with other areas) N/A
2 Robot Vision Overview (Image formations and sensing, Projections, Brightness, Lenses, Image Sensing) N/A
3 Binary Images and their Properties (Basics, Geometrical Properties, Topological properties) N/A
4 Binary Algorithms, Regions and Segmentation (Histogram Based) N/A
5 Regions and Segmentation (Histogram Based, Spatial Coherence) N/A
6 Edge Detection (Differential Operators, Discrete Approximations ) N/A
7 Edge Detection (Laplacian of Gaussian, Canny Edge Detector ) N/A
8 Photometric Stereo (Image Formation) N/A
9 Photometric Stereo (Radiometry,Reflectance) N/A
10 Stereo (Stereo Imaging , Stereo Matching, 3-D Models ) N/A
11 Calibration (Photogrammetry, Depth) N/A
12 Dynamic Vision (Motion Field and Optical Flow) N/A
13 Dynamic Vision (Motion Field and Optical Flow) N/A
14 Structure from Motion (3-D Motion Models) N/A
15 Case Studies N/A
16 Final Examination N/A


Course Book 1. Robot Vision (MIT Electrical Engineering and Computer Science), Berthold K. P. Horn, The MIT Press, ISBN-10: 0262081598
Other Sources 2. Stefan Florczyk, Robot Vision, WILEY-VCH Verlag GmbH & Co. KGaA, 2005, ISBN 3-527-40544-5

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 10 20
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 40
Toplam 13 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Accumulated knowledge on mathematics, science and mechatronics engineering; an ability to apply the theoretical and applied knowledge of mathematics, science and mechatronics engineering to model and analyze mechatronics engineering problems. X
2 An ability to differentiate, identify, formulate, and solve complex engineering problems; an ability to select and implement proper analysis, modeling and implementation techniques for the identified engineering problems. X
3 An ability to design a complex system, product, component or process to meet the requirements under realistic constraints and conditions; an ability to apply contemporary design methodologies; an ability to implement effective engineering creativity techniques in mechatronics engineering. (Realistic constraints and conditions may include economics, environment, sustainability, producibility, ethics, human health, social and political problems.)
4 An ability to develop, select and use modern techniques, skills and tools for application of mechatronics engineering and robot technologies; an ability to use information and communications technologies effectively.
5 An ability to design experiments, perform experiments, collect and analyze data and assess the results for investigated problems on mechatronics engineering and robot technologies. X
6 An ability to work effectively on single disciplinary and multi-disciplinary teams; an ability for individual work; ability to communicate and collaborate/cooperate effectively with other disciplines and scientific/engineering domains or working areas, ability to work with other disciplines. X
7 An ability to express creative and original concepts and ideas effectively in Turkish and English language, oral and written. X
8 An ability to reach information on different subjects required by the wide spectrum of applications of mechatronics engineering, criticize, assess and improve the knowledge-base; consciousness on the necessity of improvement and sustainability as a result of life-long learning; monitoring the developments on science and technology; awareness on entrepreneurship, innovative and sustainable development and ability for continuous renovation.
9 Be conscious on professional and ethical responsibility, competency on improving professional consciousness and contributing to the improvement of profession itself.
10 A knowledge on the applications at business life such as project management, risk management and change management and competency on planning, managing and leadership activities on the development of capabilities of workers who are under his/her responsibility working around a project.
11 Knowledge about the global, societal and individual effects of mechatronics engineering applications on the human health, environment and security and cultural values and problems of the era; consciousness on these issues; awareness of legal results of engineering solutions.
12 Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions. X
13 Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planing, improving or changing the norms with a criticism.
14 A competency on developing strategy, policy and application plans on the mechatronics engineering and evaluating the results in the context of qualitative processes.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 2 28
Laboratory 14 2 28
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project 14 2 28
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 124