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Content-Based Searching for Similar CT Scans
Hošek, Pavel ; Klíma, Ondřej (referee) ; Španěl, Michal (advisor)
The work deals with the design and implementation of tool for Content-Based Searching for similar CT scans. This work also deals with comparision of individual methods for searching for similar CT scans. Third-party libraries are used to extract individual descriptors. Furthermore, this work presents results of the implemented searching tool and also presents results of the comparision of individual methods for Content-Based Searching for similar CT scans and suggests possible improvements.
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Content-based Image Search
Talaš, Josef ; Surynek, Pavel (advisor) ; Děchtěrenko, Filip (referee)
This work aims at content-based image search. Different approaches to this type of search are investigated. The main focus of the thesis is special category of content-based image search called sketch-based image search. The most important descriptor types used for image feature extraction in image search are analyzed. Main contribution of the thesis to this research area is a new feature extraction method based on sketch-based image search. This method is implemented together with search interface. The method was evaluated by three test persons. The testing results show promising properties of new method and suggest further possible improve-ments. Powered by TCPDF (www.tcpdf.org)
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Content-Based Searching for Similar CT Scans
Hošek, Pavel ; Klíma, Ondřej (referee) ; Španěl, Michal (advisor)
The work deals with the design and implementation of tool for Content-Based Searching for similar CT scans. This work also deals with comparision of individual methods for searching for similar CT scans. Third-party libraries are used to extract individual descriptors. Furthermore, this work presents results of the implemented searching tool and also presents results of the comparision of individual methods for Content-Based Searching for similar CT scans and suggests possible improvements.
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Content-based Image Search
Talaš, Josef ; Surynek, Pavel (advisor) ; Děchtěrenko, Filip (referee)
This work aims at content-based image search. Different approaches to this type of search are investigated. The main focus of the thesis is special category of content-based image search called sketch-based image search. The most important descriptor types used for image feature extraction in image search are analyzed. Main contribution of the thesis to this research area is a new feature extraction method based on sketch-based image search. This method is implemented together with search interface. The method was evaluated by three test persons. The testing results show promising properties of new method and suggest further possible improve-ments. Powered by TCPDF (www.tcpdf.org)
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