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Tool for Detection and Correction of Images with Diseased Eye Retinas
Jochlík, Jakub ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Loss or partial loss of eye sight can have major effect on quality of person's life. One of the most common diseases, which causes loss or partial loss of eye sight are diabetic retinopathy and age releated macular degeneration. Both of these diseases can be prevented or mediated by early detection and proper treatment. The fundus camera, which is used to capture eye retina, has had major effect on increasing quality and speed of early detection. Images captured by fundus camera can be automatically analyzed in order to detect any possible signs of retina damage. This thesis proposes one possible way of automating this process. First part of this thesis describes eye, its diseases and capturing technology. Second part then proposes way of automating detection process and its implementation. Lastly, the results are evaluated.
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Acceleration of 3D Image Processing Using GPU
Jochlík, Jakub ; Klepárník, Petr (referee) ; Španěl, Michal (advisor)
This thesis proposes a solution for acceleration of large 3D image data filtering by using the compute power of graphic cards. This solution uses OpenCL platform to dedicate all necessary computation onto graphical core of the graphic card and furthermore optimize this process using on-board local memory. Design and implementation of the mentioned approach is mainly focused on Sobel Operator.
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Tool for Detection and Correction of Images with Diseased Eye Retinas
Jochlík, Jakub ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
Loss or partial loss of eye sight can have major effect on quality of person's life. One of the most common diseases, which causes loss or partial loss of eye sight are diabetic retinopathy and age releated macular degeneration. Both of these diseases can be prevented or mediated by early detection and proper treatment. The fundus camera, which is used to capture eye retina, has had major effect on increasing quality and speed of early detection. Images captured by fundus camera can be automatically analyzed in order to detect any possible signs of retina damage. This thesis proposes one possible way of automating this process. First part of this thesis describes eye, its diseases and capturing technology. Second part then proposes way of automating detection process and its implementation. Lastly, the results are evaluated.
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Acceleration of 3D Image Processing Using GPU
Jochlík, Jakub ; Klepárník, Petr (referee) ; Španěl, Michal (advisor)
This thesis proposes a solution for acceleration of large 3D image data filtering by using the compute power of graphic cards. This solution uses OpenCL platform to dedicate all necessary computation onto graphical core of the graphic card and furthermore optimize this process using on-board local memory. Design and implementation of the mentioned approach is mainly focused on Sobel Operator.
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