Digital Image Processing and Pattern Recognition (122 КН)

Type: For the student's choice

Department: optoelectronics and information technologies




SemesterAmount of hoursLecturerGroup(s)
932Associate Professor Furgala Yu. M.ФеІм-13

Laboratory works

SemesterAmount of hoursGroupTeacher(s)
948ФеІм-13Associate Professor Furgala Yu. M., Associate Professor Furgala Yu. M.

Опис навчальної дисципліни

The educational discipline is designed for students to acquire theoretical knowledge of image processing and pattern recognition, methods of determining key features, and their analysis, and assigning them to a certain class. The basis of the course is the consideration of mathematical models that ensure the selection of features of images, their classification, methods of analyzing the received information and making a decision on establishing correspondences, as well as software implementation of recognition algorithms in various artificial intelligence systems.

The purpose of studying the discipline “Pattern Recognition” is to acquaint students with the theoretical foundations of solving the problem of pattern recognition, in particular, on images, and the goals are to form practical skills that would enable them to effectively apply the acquired knowledge, algorithms, methods and existing libraries and online resources for solving such problems.

Recommended Literature


  • 1. Image Processing: Principles and Applications. Rafael C. Gonzalez and Richard E. Woods, Pearson Education Inc., 2008, – 954 p.
  • 2. Computer Vision: A Modern Approach. David Lowe. Pearson Education, Inc.2012 – 793 с.
  • 3. Computer Vision: Algorithms and Applications. Richard Szeliski, Springer; 2nd Edition 2022. – 947p.
  • 4. Davies E. R. Machine Vision: Theory, Algorithms, Practicalities, Morgan Kaufmann, San Francisco. 2005 – 200 p.


  • 5. Evaluation of objects recognition efficiency on maps by various methods / Yuriy Furgala, Yuriy Mochulsky, Bohdan Rusyn // Data Stream Mining & Processing (DSMP 2018), IEEE Second International Conference. Lviv, Ukraine August 21-25, 2018, pp. 595-598.
  • 6. Yu. Furgala, A. Velgosh, B. Rusyn, Yu. Korchak Proceedings of the Xth International Scientific and Practical Conference “Electronics and Information Technologies” (ELIT-2018), Lviv, Ukraine, August 30 – September 2, 2018, pp. A57-A60
  • 7. A. Fesiuk, Y. Furgala. Key points on the images: comparison of detection by different methods. Електроніка та інформаційні технології. – 2023. – Вип. 21 – С. 15-23.
  • 8. Yufei Bai. Research of image detection and matching algorithms. Proceedings of the 3rd International Conference on Signal Processing and Machine Learning. SPML2023, Chicago, USA, February 25-27, 2023, p.519-526


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