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Retinal image processing using wavelet transform
Portyš, Jakub ; Kolář, Radim (referee) ; Taševský, Pavel (advisor)
Work is focused on usage wavelet transform in diagnostic of retinae illness. Wavelet transform enables decomposition of eye background pictures. With the following segmentation by force of thresholding it leads to lucidity of picture and simpler diagnostics of morphological and anatomical changes. Part of work is also familiarization with wavelet transform and mother's wavelet family. Marginally is in work analysed picture segmentation according to RGB coloured model, picture filtration and thresholding. In opening chapters are mentioned essential piece of knowledge from anatomy, physiology and pathology.
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Diseases diagnosing from the retina images for the digital image processing
Chmurová, Anna ; Jan, Jiří (referee) ; Taševský, Pavel (advisor)
This bachelor’s paper deals with the scanning of fundus using a fundus camera. It also contains the list of some retinal diseases which visibly appear on fundus. Moreover, every disease is illustrated with pictures showing the symptoms of the given disease. These pictures include separated RGB channel layers. Consequently, the pictures of fundus are filtrated by function created in MATLAB in order to make the symptoms as visible as possible.
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E-shop
Žák, David ; Taševský, Pavel (referee) ; Kříž, Jiří (advisor)
The work deals with internet commerce. It includes analysis and design their own e-shop. The aim was to bring the marketing plan for market entry, assess the achievements and propose a procedure to other years. It can be familiar with basic knowledge about internet marketing, internet business analysis in comparison with the stone business. These general theoretical and practical knowledge is given to about half the work. In the second half is giving its own Internet business, the introduction of the marketing and promotion.
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Segmentation of blood-vessels in the retinal images
Walczysko, Martin ; Kolář, Radim (referee) ; Taševský, Pavel (advisor)
This thesis deals with method of blood vessels segmentation from retinal images acquired by fundus camera. There is explored possibility of using wavelet transform as fast outline segmentation. The thesis includes study problems of preprocessing input image and decomposition of image using 2D DWT. Furthermore there is explored possibility of parametrical images thresholding that ensue from application of 2D DWT. There are designed algorithms for cleaning off artifacts from rough vessel map of blood vessel structures. The realization of algorithm was solved in programming environment MATLAB. There was created a user control interface in graphic application GUIDE, for easy control of whole segmentation process. In conclusion of thesis is proceeded the discussion of segmentation results for images from DBME database and quantitative evaluation of results for DRIVE database images.
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Diseases diagnosing from the retina images for the digital image processing
Chmurová, Anna ; Jan, Jiří (referee) ; Taševský, Pavel (advisor)
This bachelor’s paper deals with the scanning of fundus using a fundus camera. It also contains the list of some retinal diseases which visibly appear on fundus. Moreover, every disease is illustrated with pictures showing the symptoms of the given disease. These pictures include separated RGB channel layers. Consequently, the pictures of fundus are filtrated by function created in MATLAB in order to make the symptoms as visible as possible.
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Retinal image processing using wavelet transform
Portyš, Jakub ; Kolář, Radim (referee) ; Taševský, Pavel (advisor)
Work is focused on usage wavelet transform in diagnostic of retinae illness. Wavelet transform enables decomposition of eye background pictures. With the following segmentation by force of thresholding it leads to lucidity of picture and simpler diagnostics of morphological and anatomical changes. Part of work is also familiarization with wavelet transform and mother's wavelet family. Marginally is in work analysed picture segmentation according to RGB coloured model, picture filtration and thresholding. In opening chapters are mentioned essential piece of knowledge from anatomy, physiology and pathology.
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