352-0530/06 – Special Programme Techniques (SPT)

Gurantor departmentDepartment of Control Systems and InstrumentationCredits4
Subject guarantorIng. Jiří Kulhánek, Ph.D.Subject version guarantorIng. Jiří Kulhánek, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory type B
Study languageEnglish
Year of introduction2021/2022Year of cancellation
Intended for the facultiesFSIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KUL74 Ing. Jiří Kulhánek, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2
Part-time Graded credit 12+4

Subject aims expressed by acquired skills and competences

The main topic of subject is to introduce students with basics of image recognition. The environment used for teaching is the NI VisionBuilder (mostly) and NI LabView (partialy).

Teaching methods

Project work


Subject “Special programme techniques” is focused to methods of image recognition used in industry, especially connected to the automation of mechanical industry. In the subject the students will got common knowledge of image recognition and knowledge of specific solutions in the NI VisionBuilder environment.

Compulsory literature:

ŠONKA, Milan, Václav HLAVÁČ a Roger BOYLE. Image processing, analysis, and machine vision. Fourth edition. Austrálie: Cengage Learning, [2015]. ISBN 978-1-133-59369-0.

Recommended literature:

GONZALEZ, Rafael C. a Richard E. WOODS. Digital image processing. 2nd ed. Upper Saddle River: Prentice Hall, c2002. ISBN 0-201-18075-8. NI Vision Builder for Automated Inspection Tutorial: NI Vision. Austin,USA: National Instruments, 2018, 106 s. Dostupné také z: https://www.ni.com/pdf/manuals/373379m.pdf

Way of continuous check of knowledge in the course of semester

The periodic check of students work will be on each lesson. The student will upload their actual work from the lesson into LMS server. These uploaded works will be evaulated and graded. Before the end of lessons the students will do longer project (graded). Before the end of lessons the students will fulfill graded test, which will show their knowledge of terms.


Other requirements

Without previous knowledge. Advantage is previous knowledge of programming in LabVIEW.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1. Introduction to NI Vision Builder IDE , different methods for image acquisition, setup of image coordinate system. 2. Image formats, color spaces and and transformation methods to grayscale. 3. Edge detection methods, line edges, circular edges. 4. Edge detection, detection of edge corruption, different methods. 5. Detection of objects in image based on intensity points. 6. Detection of objects in image based on corelation with object template. 7. Measurement of dimensions and engles in image, calibration of image corrdinate system. . 8. State diagrams, conditions and loops, variables and arrays in VisionBuilder. 9. Detection of several identical objects in image, detection of several different objects in image. 10. Recognition of texts, 1D and 2D barcodes in image. 11. Control of externale measurement devices from VisionBuilder. 12. Creation of new block for VisionBuilder in LabVIEW. 13. Building of image recognition application in LabVIEW with IMAQ Vision library. 14. Final work evaluation.

Conditions for subject completion

Full-time form (validity from: 2021/2022 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Graded credit Graded credit 100  51 3
Mandatory attendence participation: Requirement is to process all the tasks and visit at least 80% of lessons.

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (N0714A270012) Control of Machines and Processes ITŘ P English Ostrava 2 Choice-compulsory type B study plan
2022/2023 (N0714A270012) Control of Machines and Processes ITŘ P English Ostrava 2 Choice-compulsory type B study plan
2021/2022 (N0714A270012) Control of Machines and Processes ITŘ P English Ostrava 2 Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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