Course details

Machine Vision

QA3 Acad. year 2009/2010 Winter semester

Current academic year

Image acquisition, technical means and their application possibilities. Scene illumination. Means of acquisition and processing of image, signal processors. Synchronization of acquisition and processing with technological processes. Preparations of experiments, mathematical and software processing of the acquired data sets. Reproducibility of the results in real use. Additional notes for image processing.

Guarantor

Honec Jozef, doc. Ing., CSc.

Language of instruction

Czech

Completion

Examination

Time span

  • 13 hrs lectures
  • 26 hrs projects

Department

Department of Control and Instrumentation (UAMT)

Subject specific learning outcomes and competences

To get acquainted with possibilities and limitations of application of image processing and computer vision. To learn theoretical knowledge about computer vision and their application in selected technical and industrial tasks. To get acquainted with solutions of projects in the industry, traffic, and state offices. To learn to participate on real solutions in teams.

Students will learn about practical approach of application of theoretical knowledge and real application of the knowledge.

Learning objectives

To get acquainted with possibilities and limitations of application of image processing and computer vision. To learn theoretical knowledge about computer vision and their application in selected technical and industrial tasks. To get acquainted with solutions of projects in the industry, traffic, and state offices. To learn to participate on real solutions in teams.

Prerequisite knowledge and skills

Rudiments of computer graphics and signal processing.

Study literature

  • Russ, J.C.: The IMAGE PROCESSING Handbook. CRC Press 1995
  • Jahne, B., Hausecker, H.: Handbook of Computer Vision and Applications. 1999 Academic Press, ISBN 0-12-379774-8
  • Vernon, D.: Machine Vision, Prentice-Hall 1991

Fundamental literature

  • Bass, M.: Handbook of Optics, McGraw-Hill, New York, USA, 1995 ISBN 0-07-047740-X
  • Horn, B.K.P.: Robot Vision. McGraw-Hill 1988
  • Jahne, B., Hausecker, H.: Handbook of Computer Vision and Applications. 1999 Academic Press, ISBN 0-12-379774-8
  • Vernon, D.: Machine Vision, Prentice-Hall 1991

Syllabus of lectures

  1. Introduction, image acquisition.
  2. Hardware and its limitations.
  3. Scene illumination design.
  4. Means of image acquisition.
  5. Means of image processing.
  6. Signal processors.
  7. Synchronization of image acquisition with technological process.
  8. Experiment preparation.
  9. Mathematical fundamentals of experiments.
  10. Experimental software.
  11. Experimental data processing.
  12. Reproducibility of results in reality.
  13. Further visual systems remarks.

Progress assessment

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

Controlled instruction

Submitting of projects.

Back to top