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KEI/EPZ
Image Processing Systems
Guarantors: Ing. Radek Holota, Ph.D.
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Course annotation
KEI/EPZ
-IS/STAG
| The objective of this course is to acquaint students with basic principles of image processing from image acquisition to pattern recognition. The course presents machine vision systems and their design and applications in more details. |
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Přehled témat přednášek
| 1. |
Optics - lens features (focus length, aperture), lens failures, sensors, size conversion, crop factor, depth of field, white balance. |
| 2. |
Types of sensors - human eye, CCD, CMOS and special sensing elements. Color capture, principles of focus (autofocus) and image stabilization. |
| 3. |
Fundamentals of image processing (scanning, image pre-processing). |
| 4. |
Fundamentals of image processing (segmentation, object description, classification). |
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Machine vision - fundamentals, framegrabbers, vision systems, smart cameras, lenses. |
| 6. |
Machine vision - cameras (types, interfaces, color formats, parameters and functions). |
| 7. |
Machine vision - lighting (geometry, spectral properties, sources). |
Last updated:
14.09.2022
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Lectures
Documents are accessible only to registered users or students on the course.
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