UFPF010 Analysis and digital image processing

Faculty of Philosophy and Science in Opava
Summer 2019
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Stanislav Hledík, Ph.D. (lecturer)
Mgr. Adam Hofer (seminar tutor)
Guaranteed by
doc. RNDr. Stanislav Hledík, Ph.D.
Centrum interdisciplinárních studií – Faculty of Philosophy and Science in Opava
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course focuses on digital processing, analysis and recognition of image data and their applications in natural sciences, especially in physics and in measuring and monitoring technology. The lectures are supplemented by practical demonstrations and interactive demonstrations using Mathematica.
Syllabus
  • Introduction. Mathematical description of the image : continuous and discrete, physiological and psychological aspects of vision, mathematical model monochrome and color vision, image types and equipment for their capture.
    Mathematics for image processing. Space of the image signal, its properties and operations over it. The transformation of image signals (Fourier, cosine, wavelet, general unitary ). Stochastic description of image signals.
    Image preprocessing. Sampling, quantization and image reconstruction, aliasing.
    Image processing point, algebraic and geometric transformations. Spot Image operations. Brightness histogram, histogram equalization. Gamma correction, contrast enhancement and related transformations. Algebraic transformations of images. Geometric transformations.
    Image processing with circuit operations. Linear and nonlinear filtering. Recursive filtering, recursive filtering. Degradation and image reconstruction. Wiener filtering. Morphological processing ( dilation, erosion, opening and closing ). Image sharpening and clarifying the edges.
    Image segmentation. Edge detection and territories joining edges and regions detection corners. The processing of digital images.
    Feature detection and pattern recognition. Global and local symptoms, evaluation of symptoms, independence to image transformations, feature statistical methods for pattern recognition, classifiers.
    Application of selected methods in practice - a case study using the software Mathematica.
Literature
    recommended literature
  • Petrou M., Petrou C. Image Processing: The Fundamentals. Wiley; 2 edition, 2010. ISBN 978-0470745861. info
  • Gonzalez R.C., Woods R.E. Digital Image Processing. Prentice Hall; 3 edition, 2007. ISBN 978-0131687288. info
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Teacher's information
The attendance at lectures is recommended. It can be substituted by
the self-study of recommended literature and individual consultations. The attendance at tutorials
is compulsory (min. 80%).
The course is also listed under the following terms Summer 2014, Summer 2015, Summer 2016, Summer 2017, Summer 2018, Summer 2020, Summer 2021, Summer 2022, Summer 2023.
  • Enrolment Statistics (Summer 2019, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2019/UFPF010