Thesis Details
Akcelerace zpracování 3D obrazových dat na GPU
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The aim of this work is to accelerate the calculation of selected 2D and 3D image filters using GPU using OpenCL. Specifically, it deals with the implementation and comparison of various variants of Sobel's edge detector and Gauss filter using global or local memory.
Acceleration has been achieved on 3D filter variants. On 2D filter variants, the overhead for data transfer to and from the GPU was too high.
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NVIDIA CUDA, OpenCL, Sobel edge filter, Gaussian blur filter, convolution, DICOM, volumetric data
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT19473, author = "Radoslav Kozovsk\'{y}", type = "Bachelor's thesis", title = "Akcelerace zpracov\'{a}n\'{i} 3D obrazov\'{y}ch dat na GPU", school = "Brno University of Technology, Faculty of Information Technology", year = 2017, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/19473/" }