Lectures
1.Introduction to the imaging process, as eye imaging system psychosenzorický perception, exposure parameters, photometric and radiometric quantities, the colors, wavelength, histogram, voxel and pixel.
2.Vznik and image representation. Fundamentals of image processing: Discretization. Linearity and nonlinearity imaging process, the expression of the image as a 2D signal quality assessment process view.
3.Working with the image data, image parameters. Image analysis in the spatial domain. Convolution of the image data.
4.Integrální transformation of image data. Image filtering. Inverse filtering, Wiener filtering, change the contrast and brightness, color modulation
5.Přenosové properties of imaging systems (MTF, PSF). Amplitude and phase spectrum of the image.
6.Komprese image: Principles compression and compression standards. Evaluating the quality of compression with respect to diagnostic reliability. Medical image archiving, archiving systems.
7.Segmentace image: Basic methods of segmentation. Edge detection. Active contours and level sets. Segmentation using neural networks. Segmentation of medical volume data.
8.Analýza medical images: Detection of geometric primitives and objects. Examples of detection techniques of different objects in images from different sources.
9.Televizní sensing elements: optical CCDs. TV imaging systems. Displays for imaging systems - vacuum, LCD displays, displays with gas discharge, projectors, television image. Videoendoskopie.
10.Infra sensing cameras, optical-mechanical degradation. Signal radiation flux modulation signal infrazobrazení general process design, basic principles, sorting IR imaging systems. Construction of IR imaging systems, infrared radiation detectors.
11.Ionizující radiation, X-ray technician, physical principles, sources and detectors. Security risks ALARA principle. Mechanisms of interaction between radiation and X-rays.
12.Princip process view projection radiography, digital radiography. Restaurants techniques, quantitative evaluation. Angiography.
13.Radionuklidové imaging techniques, planar gamagrafie. Principles and methods of image acquisition. Mechanisms of interaction of gamma rays. Anger camera.
Responsibilities of laboratory exercises
First Introduction to practical exercises in MATLAB.
Second Testing psychosenzorického vision perception, physiological properties of the eye. Spatial resolution, spatial resolution dependence on contrast. Color resolution, spectral sensitivity, time resolution.
Third Entering semester project.
4th Basic work with image data, image parameters.
5th Adjusting the basic parameters of image data.
6th Image analysis in the spatial domain. Convolution of the image and its applications.
7th Image analysis in the frequency domain. Amplitude and phase spectrum.
8th Transformations. Inverse filtering, Wiener filtering.
9th Modeling distortion in the process depicted - MTF, frequency transmission.
10th Modeling distortion in the process depicted - PSF, impulse response transformations.
11th Work on the project.
12th Presentation and evaluation of the project.
13th Excursion to specialized and practical demonstration of convective imaging systems.
14th Final test
1.Introduction to the imaging process, as eye imaging system psychosenzorický perception, exposure parameters, photometric and radiometric quantities, the colors, wavelength, histogram, voxel and pixel.
2.Vznik and image representation. Fundamentals of image processing: Discretization. Linearity and nonlinearity imaging process, the expression of the image as a 2D signal quality assessment process view.
3.Working with the image data, image parameters. Image analysis in the spatial domain. Convolution of the image data.
4.Integrální transformation of image data. Image filtering. Inverse filtering, Wiener filtering, change the contrast and brightness, color modulation
5.Přenosové properties of imaging systems (MTF, PSF). Amplitude and phase spectrum of the image.
6.Komprese image: Principles compression and compression standards. Evaluating the quality of compression with respect to diagnostic reliability. Medical image archiving, archiving systems.
7.Segmentace image: Basic methods of segmentation. Edge detection. Active contours and level sets. Segmentation using neural networks. Segmentation of medical volume data.
8.Analýza medical images: Detection of geometric primitives and objects. Examples of detection techniques of different objects in images from different sources.
9.Televizní sensing elements: optical CCDs. TV imaging systems. Displays for imaging systems - vacuum, LCD displays, displays with gas discharge, projectors, television image. Videoendoskopie.
10.Infra sensing cameras, optical-mechanical degradation. Signal radiation flux modulation signal infrazobrazení general process design, basic principles, sorting IR imaging systems. Construction of IR imaging systems, infrared radiation detectors.
11.Ionizující radiation, X-ray technician, physical principles, sources and detectors. Security risks ALARA principle. Mechanisms of interaction between radiation and X-rays.
12.Princip process view projection radiography, digital radiography. Restaurants techniques, quantitative evaluation. Angiography.
13.Radionuklidové imaging techniques, planar gamagrafie. Principles and methods of image acquisition. Mechanisms of interaction of gamma rays. Anger camera.
Responsibilities of laboratory exercises
First Introduction to practical exercises in MATLAB.
Second Testing psychosenzorického vision perception, physiological properties of the eye. Spatial resolution, spatial resolution dependence on contrast. Color resolution, spectral sensitivity, time resolution.
Third Entering semester project.
4th Basic work with image data, image parameters.
5th Adjusting the basic parameters of image data.
6th Image analysis in the spatial domain. Convolution of the image and its applications.
7th Image analysis in the frequency domain. Amplitude and phase spectrum.
8th Transformations. Inverse filtering, Wiener filtering.
9th Modeling distortion in the process depicted - MTF, frequency transmission.
10th Modeling distortion in the process depicted - PSF, impulse response transformations.
11th Work on the project.
12th Presentation and evaluation of the project.
13th Excursion to specialized and practical demonstration of convective imaging systems.
14th Final test