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MRI image segmantation based on edge detection
Simichanidis, Michail ; Lamoš, Martin (oponent) ; Harabiš, Vratislav (vedoucí práce)
The aim of this thesis is to present the basic segmentation techniques uses in the field of medical image processing and by using a 3D viewer able to visualize 3D images, implement a segmentation module based on edges detection and evaluate the results. The proposed viewer is a 3D viewer build using matlab GUI and is able to load a volume of images representing the human head. The proposed segmentation module is based on the use of edge detectors particularly the Canny algorithm.
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MRI image segmantation based on edge detection
Simichanidis, Michail ; Lamoš, Martin (oponent) ; Harabiš, Vratislav (vedoucí práce)
The aim of this thesis is to present the basic segmentation techniques uses in the field of medical image processing and by using a 3D viewer able to visualize 3D images, implement a segmentation module based on edges detection and evaluate the results. The proposed viewer is a 3D viewer build using matlab GUI and is able to load a volume of images representing the human head. The proposed segmentation module is based on the use of edge detectors particularly the Canny algorithm.
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