Image Processing and Pattern Recognition 1

Vztahy:

It is not possible to register for the course 01ROZ1 if the student is concurrently registered for or has previously completed the course 01DIZO (mutually exclusive courses).

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Mathematics

Synopsis:

An introductory course on image processing and pattern recognition. Major attention is paid to image sampling and quantization, image preprocessing (noise removal, contrast stretching, sharpening, and de-blurring, Wiener filtering, blind deconvolution), edge detection, morphology and geometric transformations and warping. Numerous applications and experimental results are presented in addition to the theory.

Requirements:

Passing linear algebra and calculus

Syllabus of lectures:

image sampling and quantization, Shannon theorem, aliasing

basic image operations, histogram, contrast stretching, noise removal, image sharpening

linear filtering in the spatial and frequency domains, convolution, Fourier transform

edge detection, corner detection

image degradations and their modelling, inverse and Wiener filtering, restoration of motion-blurred and out-of-focus blurred images

image segmentation

mathematical morphology

image registration and matching

Syllabus of tutorials:

Image visualisation and Matlab basics

Fourier transform

Noise and denoising methods

Edge detectors and histogram equalisation

Image registration

Morphology

Study Objective:

to teach students introduction to image processing

Study materials:

Key references:

Gonzales R. C., Woods R. E., Digital Image Processing (3rd ed.), Addison-Wesley, 2008

ecommended references:

Pratt W. K.: Digital Image Processing (3rd ed.), John Wiley, New York, 2001

Media and tools: a complete set of lecture slides and excersises are available at http://zoi.utia.cas.cz/ROZ1

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Matematické inženýrství (elective course)
• Aplikace softwarového inženýrství (elective course)
• Jaderná a částicová fyzika (elective course)
• Nuclear and Particle Physics (elective course)