Infopaket

Image processing and recognition

ДВС.3.06.05.02

Вибіркова дисципліна для ОП

First

2022/2023

8 Semester

3

PLO 5 Be able to develop and use in practice algorithms related to the approximation of functional dependencies, numerical differentiation, and integration, solving systems of algebraic, differential, and integral equations, solving boundary value problems, and finding optimal solutions. PLO 26.2 Be able to implement automatic and automated systems that implement built mathematical and computer models, and developed algorithms.

Full-time form

To successfully study the discipline "Image Processing and Recognition" the student must meet the following requirements: 1. Know: 1) Fundamentals of mathematical analysis, linear algebra, discrete mathematics, differential equations, operations research, and numerical methods. 2) Image processing software. 2. Be able to: 1) Apply basic algorithms for filtering, restoration, and recognition in information processing. 2) Apply algorithms for digital information processing. 3. Possess: 1) Skills in construction, analysis, and application of mathematical methods in solving problems of image processing.

The purpose of the discipline is to master the methods and acquire theoretical and practical knowledge in the field of digital image processing. During the course, students will learn the basic algorithms of digital information processing, image restoration, image compression, and pattern recognition.

1. Gonzalez R., Woods R. Digital image processing. - M .: TECHNOSPHERE, 2006. –1070 p. 2. Kirichenko N.F., Matvienko V.T. Construction of multiple filters for linear algebraic systems. // Problems of management and informatics, №6, 2000, p.56-76. 3. Matvienko V.T., Cherniy D. I., Linder Y. M., Pichkur V. V An algorithm for finding similar objects in an image // Paper presented at the 2019 IEEE International Conference on Advanced Trends in Information Theory, ATIT 2019.

Lectures, laboratory work, independent work, elaboration of recommended literature, homework.

Semester assessment: The maximum number of points that can be obtained by a student is 100 points: Laboratory work №1: - 50/30 points. Laboratory work №2: - 50/30 points. Defense of laboratory work 1 - 2 involves the delivery of a laboratory project and answers to theoretical questions on its topic.

Ukrainian