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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Neural Cell Segmentation from Fluorescent Microscopy Images of Mouse Brains
 Studna, Martin ; Šikudová, Elena (advisor) ; Bída, Michal (referee)
Our objective is to propose a neural cell segmentation algorithm for fluorescent mi- croscopic images of mice brains. We received a dataset from the Laboratory of Neu- rochemistry, Institute of Physiology of the Czech Academy of Sciences in Prague. We conducted various image segmentation experiments to identify a method that can most accurately segment neural cells. Our thesis will present the challenges linked with the segmentation of biological images. Then, we will describe the details of our experiments and the evaluation metrics used for measuring our methods' accuracy. 1
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Procedural generation of pencil drawings
 Studna, Martin ; Křivánek, Jaroslav (advisor) ; Nindel, Thomas Klaus (referee)
The aim of the thesis is to implement a procedural method which transfers a natural image into a pencil drawing-like style. Our project is written in C++. It uses libraries like OpenCV for image processing and Eigen for linear algebra computations. Since neural networks are frequently questioned, as to whether or not they are better than procedural methods for artistic style reproduction, this work presents also a detailed comparison of both of these approaches. We have re-implemented a selected method for procedural generation of pencil drawing style, bringing several modifications. We compare results of the method with a recently released code for neural network-based drawing generation. The result of this subjective comparison indicates that neural networks maybe be better suited for the generation of pencil-like hatching texture to reproduce shading. On the other hand, the procedurally generated outlined produced by the implemented approach provide more natural renderings.
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