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Preprocessing of 1D gel electrophoresis image
Hlavatý, Matej ; Harabiš, Vratislav (referee) ; Vítek, Martin (advisor)
The aim of this project is an automatic analysis of 1D gel electrophoresis results. Basic principles of gel electrophoresis and types of errors and signal noise influencing the result are studied. The proposed algorithm serves for automatic detection of lanes in the image. Summation projection on the horizontal axis is created from black-and-white digital pictures of electrophoresis. Local minima of the profile are located after smoothing the profile. In the location of these minima borders between lanes are established.
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Microaneurysms and hemorrhages detection in retinal images
Tobiášová, Nela ; Štohanzlová, Petra (referee) ; Kolář, Radim (advisor)
Diabetic retinopathy is a serious eye complication of diabetes mellitus and one of the major causes of blindness in the world. The microaneurysms and the haemorrhages are the pathologies of diabetic retinopathy. Their detection can halt or reverse the progression of this disease and prevent blindness. The algorithms could be helpful to ophthalmologists. This bacherol’s thesis is concerned with the detection of microaneurysms and haemorrhages in fundus images. The diabetic retinopathy, the types of lesions and the treatment methods are described in the first part of the paper. Existing methods are described as follows. The practical part of this work is aimed at the proposal and the detection of the red lesions. It consists of several steps, such as selecting the correct channel of RGB images, using local methods of contrast enhancement, edge detection, thresholding, creating a training set of the feature vector and the classification with the use of the neutral network.
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Visual Enhancement of Ultrasound Images
Vaňhara, Jaromír ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
Ultrasound imaging is widely used in medical examination. However, the interpretation of images is not trivial and requires much experience. In this thesis, various techniques for enhancement of visual quality of ultrasound images are presented. Several basic and advanced methods that may simplify the visual diagnosis are described. Finally, an interactive application is designed and implemented for simple usage of presented methods.
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Wavelet Transform in Image Processing
Dostál, Martin ; Klíma, Ondřej (referee) ; Bařina, David (advisor)
The wavelet transform has been used for several decades and it is still an object of research - especially its recent modifications which are using the so-called second generation wavelets. It has several advantages over other integral transformations. The most important of them are the ability to localize both in time and frequency and an ability to decorrelate some real non-stationary signals such as images. For this reasons, the wavelet transform became an often used tool in many image processing tasks, for example in image compression, edge detection or contrast enhancement. In this thesis, the wavelet transform is explained, including the theoretical foundation and implementation for use with two-dimensional discrete signals. Some of the applications of the wavelet transform are presented and described. The wavelet transform showed to be suitable tool for edge detection, noise reduction, contrast enhancement and HDR compression.
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Preprocessing of 1D gel electrophoresis image
Hlavatý, Matej ; Harabiš, Vratislav (referee) ; Vítek, Martin (advisor)
The aim of this project is an automatic analysis of 1D gel electrophoresis results. Basic principles of gel electrophoresis and types of errors and signal noise influencing the result are studied. The proposed algorithm serves for automatic detection of lanes in the image. Summation projection on the horizontal axis is created from black-and-white digital pictures of electrophoresis. Local minima of the profile are located after smoothing the profile. In the location of these minima borders between lanes are established.
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Microaneurysms and hemorrhages detection in retinal images
Tobiášová, Nela ; Štohanzlová, Petra (referee) ; Kolář, Radim (advisor)
Diabetic retinopathy is a serious eye complication of diabetes mellitus and one of the major causes of blindness in the world. The microaneurysms and the haemorrhages are the pathologies of diabetic retinopathy. Their detection can halt or reverse the progression of this disease and prevent blindness. The algorithms could be helpful to ophthalmologists. This bacherol’s thesis is concerned with the detection of microaneurysms and haemorrhages in fundus images. The diabetic retinopathy, the types of lesions and the treatment methods are described in the first part of the paper. Existing methods are described as follows. The practical part of this work is aimed at the proposal and the detection of the red lesions. It consists of several steps, such as selecting the correct channel of RGB images, using local methods of contrast enhancement, edge detection, thresholding, creating a training set of the feature vector and the classification with the use of the neutral network.
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Visual Enhancement of Ultrasound Images
Vaňhara, Jaromír ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
Ultrasound imaging is widely used in medical examination. However, the interpretation of images is not trivial and requires much experience. In this thesis, various techniques for enhancement of visual quality of ultrasound images are presented. Several basic and advanced methods that may simplify the visual diagnosis are described. Finally, an interactive application is designed and implemented for simple usage of presented methods.
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Wavelet Transform in Image Processing
Dostál, Martin ; Klíma, Ondřej (referee) ; Bařina, David (advisor)
The wavelet transform has been used for several decades and it is still an object of research - especially its recent modifications which are using the so-called second generation wavelets. It has several advantages over other integral transformations. The most important of them are the ability to localize both in time and frequency and an ability to decorrelate some real non-stationary signals such as images. For this reasons, the wavelet transform became an often used tool in many image processing tasks, for example in image compression, edge detection or contrast enhancement. In this thesis, the wavelet transform is explained, including the theoretical foundation and implementation for use with two-dimensional discrete signals. Some of the applications of the wavelet transform are presented and described. The wavelet transform showed to be suitable tool for edge detection, noise reduction, contrast enhancement and HDR compression.
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