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Temperature drift compensation for nanostructure analysis
Hakira, Stanli ; Páleníček, Michal (referee) ; Bábor, Petr (advisor)
An ultra high vacuum apparatus for nanostructure experiments is being developed by the Tescan company in cooperation with the Institute of Physical Engineering of the Faculty of Mechanical Engineering. The apparatus is designed for preparation, modification, and analysis of nano-scale structures. A sample holder which allows heating and cooling has been developed for the apparatus. A scanning electron microscope is attached to the chamber to provide analytical and manufacturing capabilities. During experiments with heating enabled, the sample moves relative to the SEM column, causing drift of the image. This bachelor thesis proposes a solution to the problem of temperature drift by the means of motion tracking based on image registration using Fourier transform. An application complementary to the SEM control software which implements the algorithm was designed and tested at the instrument.
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Numerical methods in image processing for applications in jewellery industry
Petrla, Martin ; Hnětynková, Iveta (advisor) ; Plešinger, Martin (referee)
Presented thesis deals with a problem from the field of image processing for application in multiple scanning of jewelery stones. The aim is to develop a method for preprocessing and subsequent mathematical registration of images in order to increase the effectivity and reliability of the output quality control. For these purposes the thesis summerizes mathematical definition of digital image as well as theoretical base of image registration. It proposes a method adjusting every single image to increase effectivity of its subsequent processing. One image for every evaluated gemstone is generated using image registration. The method is implementated in the MATLAB environment. Powered by TCPDF (www.tcpdf.org)
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Temperature drift compensation for nanostructure analysis
Hakira, Stanli ; Páleníček, Michal (referee) ; Bábor, Petr (advisor)
An ultra high vacuum apparatus for nanostructure experiments is being developed by the Tescan company in cooperation with the Institute of Physical Engineering of the Faculty of Mechanical Engineering. The apparatus is designed for preparation, modification, and analysis of nano-scale structures. A sample holder which allows heating and cooling has been developed for the apparatus. A scanning electron microscope is attached to the chamber to provide analytical and manufacturing capabilities. During experiments with heating enabled, the sample moves relative to the SEM column, causing drift of the image. This bachelor thesis proposes a solution to the problem of temperature drift by the means of motion tracking based on image registration using Fourier transform. An application complementary to the SEM control software which implements the algorithm was designed and tested at the instrument.
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Numerical methods in image processing for applications in jewellery industry
Petrla, Martin ; Hnětynková, Iveta (advisor) ; Plešinger, Martin (referee)
Presented thesis deals with a problem from the field of image processing for application in multiple scanning of jewelery stones. The aim is to develop a method for preprocessing and subsequent mathematical registration of images in order to increase the effectivity and reliability of the output quality control. For these purposes the thesis summerizes mathematical definition of digital image as well as theoretical base of image registration. It proposes a method adjusting every single image to increase effectivity of its subsequent processing. One image for every evaluated gemstone is generated using image registration. The method is implementated in the MATLAB environment. Powered by TCPDF (www.tcpdf.org)
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Medical image registration
Lacmanová, Zdeňka ; Soukup, Jindřich (advisor) ; Hnětynková, Iveta (referee)
This thesis deals with the registration of images, which differ only in the shift and rotation, taken from CT angiography. The term of registration and transformation between the images are explained here. Three methods are used for registration. The first method is based on Fourier transform and it is called the phase correlation. The other two methods use the measured data by phase correlation and then the data is processed using the least squares method or singular value decomposition. There is given detailed theoretical foundation, the methods are mathematically derived and then implemented and tested in Matlab. Powered by TCPDF (www.tcpdf.org)
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