Course: Image Processing and Analysis

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Course title Image Processing and Analysis
Course code KHT/D106
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Summer
Number of ECTS credits 0
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Tunák Maroš, doc. Ing. Ph.D.
Course content
- Introduction to image processing and analysis. Image sensing and acquisition, digital representation of images. Image sampling and quantization. Basic types of images. - Mathematical tools used in digital image processing. Point processing techniques. Intensity transforms. Histogram equalization. - Fundamentals of spatial filtering. Spatial correlation and convolution. Smoothing spatial filters. Sharpening spatial filters. - 2D Fourier transform. Filtering in the frequency domain. Relationship between the filtration in frequency and spatial domain. - Image segmentation. Detection of isolated points, line and edge detection. Edge detectors. Image segmentation. Thresholding global, local, adaptive. Hough transform. - Morphological image processing. Dilation. Erosion. Morphological opening and closing. Basic morphological operations for binary images. The hit or miss transformation. - Representation and description of objects in images. Shape description of objects. - Colour image processing. Colour models. Colour transformation. Filtration of colour images. - Using the tools of image processing for problem solution in textile engineering.

Learning activities and teaching methods
Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments), Independent creative and artistic activities, Individual consultation, Seminár
Learning outcomes
Computer vision systems are increasingly being used in industrial applications, not only because they provide dimensional information, but also because they generally have information on geometry, surface, defects, product surface modifications, and other manufacturing and process characteristics. The processing and analysis of digital image data today is a very important in this area, thanks to the ability to perform rapid, non-invasive and low cost analysis of products and processes. In the textile metrology, the processing and analysis of image data is irreplaceable because it allows us to understand the image content, find the important characteristics of the image and perform geometric and quantitative description of objects of interest in the image. The aim of this subject is to broaden the knowledge and skills of Ph.D. students in the processing and analysis of image data and their application in solving problems in the textile material engineering.
The student will acquire detailed knowledge of the subject in the area according to the approval of the Branch Board
Prerequisites
unspecified

Assessment methods and criteria
Oral exam

oral examination before a committee appointed by the Dean. Written work in the recommended range of 20 pages.
Recommended literature
  • GONZALEZ, R.C., WOODS, R.E. Digital Image Processing. New Jersey: Prentice-Hall, 2008. ISBN 978-0-13-168728-8.
  • GONZALEZ, R.C., WOODS, R.E., EDDINS, S.L. Digital Image Processing using Matlab. New Jersey: Prentice-Hall, 2004. ISBN 0-13-008519-7.
  • PETROU, M., SEVILLA, G.P. Image Processing, Dealing with Texture. Chichester: John Wiley and Sons, 2006. ISBN 978-0-470-02628-1.
  • SONKA, M., HLAVAC, V., BOYLE, R. Image Processing, Analysis, and Machine Vision. Pacific Grove: Books/Cole Publishing Company, 1998. ISBN 0-534-95393-X.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester