Infopaket

Technologies of Processing and Analysis of Diagnostic Data

ВБ.1.04

Вибіркова дисципліна для ОП

First

2022/2023

6 Semester

3

The primary studying goals of the discipline: acquaintance with the current state and development trends of a digital image processing problem; studying of bases of photometry, colorimetry and vision signals; studying of methods of compression of a digital image information; practical mastering of features and bases of work of software.

Full-time form

The student must know: basic laws, equations and structure of geometric and wave optics, methods and approaches of statistical analysis, probability theory, basics of atomic and nuclear physics.

The main tasks of the course "Technologies of Processing and Analysis of Diagnostic Data" are to master the concepts, methods and algorithms necessary for effective computational processing of digital images, to master practical skills of working with images both with the help of ready-made software products and programming of relevant algorithms. The subject of the course "Technologies of Processing and Analysis of Diagnostic Data" includes the basic concepts of images in digital form, the main methods of signal processing and their application to the case of images, namely point transformations of space, filtering methods based on the use of spatial harmonics, convolution, rank methods, segmentation, feature selection and processing, including texture and contour, basic principles of building files for saving images, including using compression algorithms, basic methods of synthesis of two-dimensional and three-dimensional images.

1. Лигун А.О. Комп’ютерна графіка (обробка та стиск зображень):навч.посіб./ А.О.Лигун, О.О.Шумейко.-Д.:Біла К.О., 2010.- 114 с. 2. Кобилін О.А., Творошенко І.С. Методи цифрової обробки зображень: навч. посібник. – Харків: ХНУРЕ, 2021. – 124 с. 3. Gonzalez R. C., Woods R. E. Digital Image Processing: Prentice Hall, 2002. – 813 p. 4. Воробель Р. А. Цифрова обробка зображень на основі теорії контрастності : дис. д-ра техн. наук : 05.13.06 / НАН України. – Л., 1999. – 369 с. 5. Творошенко І. С. Конспект лекцій з дисципліни «Цифрова обробка зображень» Харків : ХНУМГ ім. О. М. Бекетова, 2017. – 75 с. 6. В. С. Лазебний, П. В. Попович. Цифрова обробка зображень / НТУУ «КПІ» Київ : НТУУ «КПІ», 2016. – 73 с.

Lectures in the amount of 28 hours and practical tasks in the amount of 14 hours.

Semester score: The discipline has two modules, each of which is estimating at 30 points. Final score (exam): the form of the exam is written-oral. The test paper consists of 2 questions (10 points each) and a task for programmihg, which is estimated up to 20 points. In total, you can get from 0 to 40 points for the exam. The condition for achieving a positive grade for the discipline is to obtain at least 60 points, the exam score can not be less than 24 points.

Ukrainian