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Application for Editing the Histogram
Nezhyba, Jiří ; Kohoutek, Michal (referee) ; Říha, Kamil (advisor)
The object of this bachelor‘s thesis is create an application for editing the histogram. The program is realized by programming language C++ and programming tool Microsoft Visual C++ 2005 Express Edition. It defines fundamental terms for this work as histogram or transformation of grey level scale. Above all, it analyses individual grey level transformations, which used for editing the histogram. It describes designing and realization of application. Input data of program is any input digital image, which user order, selected grey level transformation and its parameters. Output data are input image in grey levels, histogram input image, transformed input image and its histogram. Output images can be saved.
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Adaptive histogram equalization for digital images processing
Kvapil, Jiří ; Martišek, Karel (referee) ; Druckmüller, Miloslav (advisor)
The diploma thesis is focused on histogram equalization method and his extension by the adaptive boundary. This thesis contains explanations of basic notions on that histogram equalization method was created. Next part is described the human vision and priciples of his imitation. In practical part of this thesis was created software that makes it possible to use methods of adaptive histogram equalization on real images. At the end is showed some results that was reached.
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Application of Neural Networks for Human Face Localization
Libosvár, Jakub ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This bachelor thesis deals with detection and localization of human upright faces in images. At first, there are considered current methods. Then the face detection concept is presented. The thesis is focused on practical implementation of artificial neural network-based face detector designed by H. Rowley. Finally, training process and results of detector are discussed in more detail.
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Arteries and veins segmentation in retinal images
Šumberová, Dagmara ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
This thesis deals with the necessity of vascular segmentation in digital image analysis of the retina and thein subsequent classification.It briefly describes the segmentation of vessels using matched filtering. Next part of this thesis is focused on processing of the retinal images, their manual segmentation and subsequent testing to determine the best discriminating parameters for classification. Finally there is an evaluation of measured parameters and the propřed extension of this method.
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Digital processing of retinal images
Kadlas, Matyáš ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
Goal of bachelor thesis is to create text that is designed to acquaint the reader with the theory and conversion of colour spaces, image editing, anatomy of the eye and retina scanning methods. Bachelor thesis also describes the conversion process and enhacement of retinal images which is then used in the final program.
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Digital processing of retinal images
Kadlas, Matyáš ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
Goal of bachelor thesis is to create text that is designed to acquaint the reader with the theory and conversion of colour spaces, image editing, anatomy of the eye and retina scanning methods. Bachelor thesis also describes the conversion process and enhacement of retinal images which is then used in the final program.
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Arteries and veins segmentation in retinal images
Šumberová, Dagmara ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
This thesis deals with the necessity of vascular segmentation in digital image analysis of the retina and thein subsequent classification.It briefly describes the segmentation of vessels using matched filtering. Next part of this thesis is focused on processing of the retinal images, their manual segmentation and subsequent testing to determine the best discriminating parameters for classification. Finally there is an evaluation of measured parameters and the propřed extension of this method.
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Application of Neural Networks for Human Face Localization
Libosvár, Jakub ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This bachelor thesis deals with detection and localization of human upright faces in images. At first, there are considered current methods. Then the face detection concept is presented. The thesis is focused on practical implementation of artificial neural network-based face detector designed by H. Rowley. Finally, training process and results of detector are discussed in more detail.
|
|
|
Adaptive histogram equalization for digital images processing
Kvapil, Jiří ; Martišek, Karel (referee) ; Druckmüller, Miloslav (advisor)
The diploma thesis is focused on histogram equalization method and his extension by the adaptive boundary. This thesis contains explanations of basic notions on that histogram equalization method was created. Next part is described the human vision and priciples of his imitation. In practical part of this thesis was created software that makes it possible to use methods of adaptive histogram equalization on real images. At the end is showed some results that was reached.
|
|
|
Application for Editing the Histogram
Nezhyba, Jiří ; Kohoutek, Michal (referee) ; Říha, Kamil (advisor)
The object of this bachelor‘s thesis is create an application for editing the histogram. The program is realized by programming language C++ and programming tool Microsoft Visual C++ 2005 Express Edition. It defines fundamental terms for this work as histogram or transformation of grey level scale. Above all, it analyses individual grey level transformations, which used for editing the histogram. It describes designing and realization of application. Input data of program is any input digital image, which user order, selected grey level transformation and its parameters. Output data are input image in grey levels, histogram input image, transformed input image and its histogram. Output images can be saved.
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