Course: Image Processing

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Course title Image Processing
Course code KHT/ZAO
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Tunák Maroš, doc. Ing. Ph.D.
  • Hájková Lenka, Ing. Ph.D.
  • Tunáková Veronika, Ing. Ph.D.
Course content
Course program: 1. Introduction to image processing and analysis. Image sensing and acquisition, digital representation of images. Image sampling and quantization. Basic types of images. 2. Mathematical tools used in digital image processing. Basic intensity transformation function. Histogram equalization. 3. Fundamentals of spatial filtering. Spatial correlation and convolution. Smoothing spatial filters. 4. Using the second derivative for image sharpening - the Laplacian. Using first derivative for image sharpening - the Gradient. Sharpening spatial filters. 5. 2D Fourier transform. Filtering in the frequency domain. Relationship between the filtration in frequency and spatial domain. 6. Image restoration. Noise models. Filters for noise reduction. 7. Image segmentation. Thresolding. Hough transform. 8. Detection of isolated points, line detection and edge detection. Edge detectors. Region growing. 9. Morphological image processing. Dilation. Erosion. Morphological opening and closing. Basic morphological operations for binary images. The hit or miss transformation. 10. Representation and description of objects or regions of interest in images. Shape description of objects or regions of interest. 11. Texture analysis. Classification of textures. 12. Color image processing. Color models. Color transformation. Filtration of color images. 13. Using the tools of image processing for problem solution in textile engineering.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing), Dialogue metods(conversation,discussion,brainstorming)
  • Class attendance - 56 hours per semester
Learning outcomes
To obtain the basic skills in the area of image analysis.
Student gets knowledges of this subject
Prerequisites
Knowledges from Bachelor study

Assessment methods and criteria
Oral exam, Written exam

Credit: work out homeworks Exam: writting and oral
Recommended literature
  • Gonzalez, RC., Woods, RE. Digital Image Processing. 3rd Edition, Prentice-Hall, New Jersey, USA, 2008..
  • Gonzalez, RC., Woods, RE., Eddins, SL. Digital Image Processing using Matlab. 1st Edition, Prentice-Hall, New Jersey, USA, 2004..
  • Petrou, M., Sevilla GP. Image Processing, Dealing with Texture. Wiley, Chichester, England. 2006..
  • SONKA, M., HLAVAC, V., BOYLE, R. Image Processing, Analysis, and Machine Vision. Pacific Grove: Books/Cole Publishing Company, 1998..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Textile Engineering Study plan (Version): Product Engineering (2012) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Product Engineering (2012) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Nonwoven and Nanomaterials (2012) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Product Engineering (2012) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Clothing and Textile Technology (2012) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Nonwoven and Nanomaterials (ANG) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Clothing and Textile Technology (2012) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Clothing and Textile Engineering (2018) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Clothing and Textile Engineering (ANG) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Clothing and Textile Engineering (2012) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Clothing and Textile Engineering (2018) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Quality Control (12) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Quality Control (2012) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Clothing and Textile Engineering (2012) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Clothing and Textile Technology (2012) Category: Textile production and clothing industry - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Textile Engineering Study plan (Version): Product Engineering (12) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer