National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Fluorescence imaging techniques in multimodal holographic microscope
Vašíček, David ; Procházková, Jana (referee) ; Čolláková, Jana (advisor)
The diploma thesis deals with the registration of images taken with the multimodal holographic microscope (MHM). The summary covers the fluorescent and holographic microscopy, and the multimodal holographic microscope combining both these microscopy types. Every pair of the images needs to be aligned in order to gain new information by combining both image types. The thesis contains an algorithm that registers images by phase correlation as well as a process created in MATLAB in accordance with the algorithm. The most important procedure parameters’ influence on the registration success is described and the results are annotated.
Alignment of Sports Pose Images
Kníže, Josef ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
The following thesis deals with image alignment based on sport pose of person in the image. The main result of this thesis is design and implementation of two systems for image alignment based on sport pose. The first system's focus is accuracy and it will be used to create dataset, which will be use to train neural network. Second system aimed at minimal hardware requirement, which was acomplished by using neural networks. Implemented neural net managed to sucessfuly align 81.98 % of images. A set of images, sorted based on the sport pose, has been created as a part of the solution.
Alignment of Sports Pose Images
Kníže, Josef ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
The following thesis deals with image alignment based on sport pose of person in the image. The main result of this thesis is design and implementation of two systems for image alignment based on sport pose. The first system's focus is accuracy and it will be used to create dataset, which will be use to train neural network. Second system aimed at minimal hardware requirement, which was acomplished by using neural networks. Implemented neural net managed to sucessfuly align 81.98 % of images. A set of images, sorted based on the sport pose, has been created as a part of the solution.
Fluorescence imaging techniques in multimodal holographic microscope
Vašíček, David ; Procházková, Jana (referee) ; Čolláková, Jana (advisor)
The diploma thesis deals with the registration of images taken with the multimodal holographic microscope (MHM). The summary covers the fluorescent and holographic microscopy, and the multimodal holographic microscope combining both these microscopy types. Every pair of the images needs to be aligned in order to gain new information by combining both image types. The thesis contains an algorithm that registers images by phase correlation as well as a process created in MATLAB in accordance with the algorithm. The most important procedure parameters’ influence on the registration success is described and the results are annotated.

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