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National Repository of Grey Literature

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	Processing of modern microscope signals for local material characterization Kaspar, Pavel ; Sadovský, Petr (referee) ; Tománek, Pavel (advisor) Signal processing from modern microscopes for local characteristics of materials Image processing is more and more important for the advancement of image evaluation taken from microscopes. This thesis engages the problem of artefact detection and removal from images taken by electron microscope, more accurately by low energy electron microscopy (LEEM). It then offers a possible course of processing such images by edge detection and its theoretical use. These operations are all made in MatLAB language. Detailed record
	Texture analysis of fundus images utilizing features of the nerve fiber layer directionality Staša, Josef ; Čmiel, Vratislav (referee) ; Gazárek, Jiří (advisor) Hlavním cílem této diplomové práce byla texturní analýzou fundus snímku se zaměřením na směrovost vrstvy nervových vláken. Úvodní část popisuje fyziologii lidského oka a glaukomové onemocnění. Jedná se tedy o literární rešerši. Hlavní část této práce je pak zaměřena na metody texturní analýzy za účelem zobrazení směrovosti nervových vláken. Metody byly realizovány a otestovány v programovém prostředí Matlab R2009b. Detailed record
	Processing of modern microscope signals for local material characterization Kaspar, Pavel ; Sadovský, Petr (referee) ; Tománek, Pavel (advisor) Signal processing from modern microscopes for local characteristics of materials Image processing is more and more important for the advancement of image evaluation taken from microscopes. This thesis engages the problem of artefact detection and removal from images taken by electron microscope, more accurately by low energy electron microscopy (LEEM). It then offers a possible course of processing such images by edge detection and its theoretical use. These operations are all made in MatLAB language. Detailed record
	Texture analysis of fundus images utilizing features of the nerve fiber layer directionality Staša, Josef ; Čmiel, Vratislav (referee) ; Gazárek, Jiří (advisor) Hlavním cílem této diplomové práce byla texturní analýzou fundus snímku se zaměřením na směrovost vrstvy nervových vláken. Úvodní část popisuje fyziologii lidského oka a glaukomové onemocnění. Jedná se tedy o literární rešerši. Hlavní část této práce je pak zaměřena na metody texturní analýzy za účelem zobrazení směrovosti nervových vláken. Metody byly realizovány a otestovány v programovém prostředí Matlab R2009b. Detailed record

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