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National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Algorithms for Computer Vision Support
 Harvánek, Martin ; Drahanský, Martin (referee) ; Zbořil, František (advisor)
Bachelor's thesis is concerned with detection and tracking disturber in the scene. As an disturber is considered any motion in the scene. For motion detection are used differential pictures and for tracking is used optical flow. Methods are implemented in C++ language using OpenCV library.
Detailed record
Image search using similarity measures
 Harvánek, Martin ; Mašek, Jan (referee) ; Burget, Radim (advisor)
There are these methods implemented: circular sectors, color moments, color coherence vector and Gabor filters, they are based on low-level image features. These methods were evaluated after their optimal parameters were found. The finding of optimal parameters of methods is done by measuring of classification accuracy of learning operators and usage of operator cross validation on images in program RapidMiner. Implemented methods are evaluated on these image categories - ancient, beach, bus, dinousaur, elephant, flower, food, horse, mountain and natives, based on total average precision. The classification accuracy result is increased by 8 % by implemented modification (HSB color space + statistical function median) of original method circular sectors. The combination of methods color moments, circular sectors and Gabor filters with weighted ratio gives the best total average precision at 70,48 % and is the best method among all implemented methods.
Detailed record
Algorithms for Computer Vision Support
 Harvánek, Martin ; Drahanský, Martin (referee) ; Zbořil, František (advisor)
Bachelor's thesis is concerned with detection and tracking disturber in the scene. As an disturber is considered any motion in the scene. For motion detection are used differential pictures and for tracking is used optical flow. Methods are implemented in C++ language using OpenCV library.
Detailed record
Image search using similarity measures
 Harvánek, Martin ; Mašek, Jan (referee) ; Burget, Radim (advisor)
There are these methods implemented: circular sectors, color moments, color coherence vector and Gabor filters, they are based on low-level image features. These methods were evaluated after their optimal parameters were found. The finding of optimal parameters of methods is done by measuring of classification accuracy of learning operators and usage of operator cross validation on images in program RapidMiner. Implemented methods are evaluated on these image categories - ancient, beach, bus, dinousaur, elephant, flower, food, horse, mountain and natives, based on total average precision. The classification accuracy result is increased by 8 % by implemented modification (HSB color space + statistical function median) of original method circular sectors. The combination of methods color moments, circular sectors and Gabor filters with weighted ratio gives the best total average precision at 70,48 % and is the best method among all implemented methods.
Detailed record

See also: similar author names
6 Harvanek, Michal
6 Harvánek, Michal
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