Machine vision and image processing
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| BI-SVZ.21 | Z,ZK | 5 | 2P+2C | Czech |
- Garant předmětu:
- Marcel Jiřina
- Lecturer:
- Lukáš Brchl, Marcel Jiřina, Jakub Novák
- Tutor:
- Lukáš Brchl, Marcel Jiřina, Jakub Novák, Jakub Žitný
- Supervisor:
- Department of Applied Mathematics
- Synopsis:
-
Camera systems are becoming a common part of life by being universally available. Related to this phenomenon is the need to process and evaluate image information. The course introduces students to different types of camera systems and a variety of methods for image and video processing. The course is focused on practical use of camera systems for solving problems of practice that the graduates may encounter.
- Requirements:
-
https://courses.fit.cvut.cz/BI-SVZ/classification/index.html
- Syllabus of lectures:
-
1. Machine Vision and Physical Principles
2. Types of Sensors and Optics
3. Camera System and Image Processing
4. Image as a Matrix
5. Perspective and Image Geometry
6. Image Preprocessing - Transformation and Correction
7. Image Preprocessing - Morphology and Shape Characteristics
8. Image Preprocessing - Spatial and Frequency Domain Filtering
9. Image Segmentation - Edge Detection
10. Image Segmentation - Hough Transform and Region-based Segmentation
11. Image Recognition, Object Detection, Modern Trends
12. Modern Trends in Image Recognition
- Syllabus of tutorials:
-
1. Introduction to tools
2. Working with cameras and basics of image processing
3. Optics defects, camera calibration
4. Image segmentation
5. Utilizing lights
6. Perspective of images
7. Working with depth cameras
8. Line-scan cameras
9. Transformation techniques
10. Image perspective, 360° lenses
11. Basics of measurement with a thermal camera
12. Image classification, object detection
- Study Objective:
-
The student is expected to gain the following from the course:
- The ability to respond to vaguely defined demands for machine vision in practice.
- Knowledge that allows them to understand problems from a machine vision perspective and design an appropriate imaging system, including the camera, lens, and lighting, with the aim of obtaining ideal image data for further processing.
- Theoretical knowledge about a range of algorithms that can be applied with minimal effort to the acquired ideal data to solve tasks.
- Practical skills in implementing these algorithms using Python on real-world data.
- Study materials:
-
[1] McAndrew A., Computational Introduction to Digital Image Processing, CRC Press, 2. vydání, 2016
[2] Sundararajan D., Digital Image Processing: A Signal Processing and Algorithmic Approach, Springer, 2017
[3] Birchfield S., Image Processing and Analysis, Cengage Learning, 2016
[4] Acharya T., Ray A. K., Image Processing: Principles and Applications, Wiley, 2005
[5] Burger W., Burge M. J., Principles of Digital Image Processing: Fundamental Techniques, Springer-Verlag, 2009
- Note:
- Further information:
- https://courses.fit.cvut.cz/BI-SVZ/
- Time-table for winter semester 2023/2024:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - Time-table for summer semester 2023/2024:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - The course is a part of the following study plans:
-
- Master specialization Computer Security, in Czech, 2020 (elective course)
- Master specialization Design and Programming of Embedded Systems, in Czech, 2020 (elective course)
- Master specialization Computer Systems and Networks, in Czech, 202 (elective course)
- Master specialization Management Informatics, in Czech, 2020 (elective course)
- Master specialization Software Engineering, in Czech, 2020 (elective course)
- Master specialization System Programming, in Czech, version from 2020 (elective course)
- Master specialization Web Engineering, in Czech, 2020 (elective course)
- Master specialization Knowledge Engineering, in Czech, 2020 (elective course)
- Master specialization Computer Science, in Czech, 2020 (elective course)
- Mgr. programme, for the phase of study without specialisation, ver. for 2020 and higher (elective course)
- Bachelor specialization Information Security, in Czech, 2021 (elective course)
- Bachelor specialization Management Informatics, in Czech, 2021 (elective course)
- Bachelor specialization Computer Graphics, in Czech, 2021 (PS, elective course)
- Bachelor specialization Computer Engineering, in Czech, 2021 (elective course)
- Bachelor program, unspecified specialization, in Czech, 2021 (VO)
- Bachelor specialization Web Engineering, in Czech, 2021 (elective course)
- Bachelor specialization Artificial Intelligence, in Czech, 2021 (compulsory elective course, elective course)
- Bachelor specialization Computer Science, in Czech, 2021 (elective course)
- Bachelor specialization Software Engineering, in Czech, 2021 (elective course)
- Bachelor specialization Computer Systems and Virtualization, in Czech, 2021 (elective course)
- Bachelor specialization Computer Networks and Internet, in Czech, 2021 (elective course)
- Study plan for Ukrainian refugees (elective course)
- Master specialization System Programming, in Czech, version from 2023 (elective course)
- Master specialization Computer Science, in Czech, 2023 (elective course)