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Detection of optic disc from fundus camera sequences
Juráček, Radek ; Harabiš, Vratislav (referee) ; Hracho, Michal (advisor)
This bachelor thesis deals with optical disc detection in retinal images taken by an experimental video ophthalmoscope. At the beginning, it briefly describes the anatomy of the eyesight and retina, retinal disease and selected diagnostic methods of retinal imaging. There are described methods of detecting objects in the image, which are subsequently used in the practical part dealing with optical disc detection using Hough transformation and matched filtration. Proposed procedures were tested on a 100-image set. Hough Transformation Detection was successful in 64% of cases, matched filtration was successful in 44% of cases.
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X-ray projection imaging- model of structural noise suppression
Lamoš, Martin ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
The aim of this task is to create a program that will simulate noise components and methods of their elimination for X-ray projection imaging with focus on structural noise. MATLAB has chosen as the environment for the implementation. Some of the toolboxes shipped with MATLAB has also been used, mainly the Image Processing Toolbox. The methods and elements are implemented as independent functions, which are highly configurable through the setting of the input parameters. All of functions are covered in a custom application. The model is become user friendly and it is suitable teaching support as a laboratory task. The methods it is possible to use for the structural noise suppression are: temporal image subtraction, temporal integration, matched filtration and recursive filtration. There are three methods of cumulation for physical noise suppression. With proper settings it is possible to suppress also the periodical motional noise suppression.
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Optic disc detection in retinal images
Jalůvková, Lenka ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
The bachelor thesis is focused on a detection of optic disc in the retinal images in order to propose and compare several existing methods. The detection is implemented as the Gaussian filter, matched filter and is done by vascular structure information. The DIARETDB1 database is used for testing. The best results have been achieved using Gaussian filter and detection by vascular structure information with success rate 81%. The description and comparison of all the algorithms can be found in this thesis.
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Detection of optic disc from fundus camera sequences
Juráček, Radek ; Harabiš, Vratislav (referee) ; Hracho, Michal (advisor)
This bachelor thesis deals with optical disc detection in retinal images taken by an experimental video ophthalmoscope. At the beginning, it briefly describes the anatomy of the eyesight and retina, retinal disease and selected diagnostic methods of retinal imaging. There are described methods of detecting objects in the image, which are subsequently used in the practical part dealing with optical disc detection using Hough transformation and matched filtration. Proposed procedures were tested on a 100-image set. Hough Transformation Detection was successful in 64% of cases, matched filtration was successful in 44% of cases.
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Optic disc detection in retinal images
Jalůvková, Lenka ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
The bachelor thesis is focused on a detection of optic disc in the retinal images in order to propose and compare several existing methods. The detection is implemented as the Gaussian filter, matched filter and is done by vascular structure information. The DIARETDB1 database is used for testing. The best results have been achieved using Gaussian filter and detection by vascular structure information with success rate 81%. The description and comparison of all the algorithms can be found in this thesis.
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|
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X-ray projection imaging- model of structural noise suppression
Lamoš, Martin ; Kolář, Radim (referee) ; Drastich, Aleš (advisor)
The aim of this task is to create a program that will simulate noise components and methods of their elimination for X-ray projection imaging with focus on structural noise. MATLAB has chosen as the environment for the implementation. Some of the toolboxes shipped with MATLAB has also been used, mainly the Image Processing Toolbox. The methods and elements are implemented as independent functions, which are highly configurable through the setting of the input parameters. All of functions are covered in a custom application. The model is become user friendly and it is suitable teaching support as a laboratory task. The methods it is possible to use for the structural noise suppression are: temporal image subtraction, temporal integration, matched filtration and recursive filtration. There are three methods of cumulation for physical noise suppression. With proper settings it is possible to suppress also the periodical motional noise suppression.
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