. . . "V p\u0159\u00EDsp\u011Bvku je prezentov\u00E1na metoda pro detekci chybn\u011B segmentovan\u00FDch kost\u00ED v datech z\u00EDskan\u00FDch pomoc\u00ED v\u00FDpo\u010Detn\u00ED rentgenov\u00E9 tomografie (CT) zalo\u017Een\u00E1 na klasifikaci tvar\u016F bin\u00E1rn\u00EDch objekt\u016F. V prvn\u00ED \u010D\u00E1sti je prezentov\u00E1na metoda prahov\u00E1n\u00ED s glob\u00E1ln\u00EDm prahem pro segmentaci kortik\u00E1ln\u00EDch \u010D\u00E1st\u00ED kost\u00ED. Pot\u0159ebn\u00FD pr\u00E1h je ur\u010Den optim\u00E1ln\u00EDm prolo\u017Een\u00EDm histogramu vybran\u00FDm typem pravd\u011Bpodobnostn\u00EDho rozd\u011Blen\u00ED. Kontura z\u00EDskan\u00FDch bin\u00E1rn\u00EDch objekt\u016F je extrahov\u00E1na a pomoc\u00ED kumulativn\u00ED \u00FAhlov\u00E9 funkce je pops\u00E1na jednorozm\u011Brn\u00FDm sign\u00E1lem. N\u00E1sledn\u011B jsou na t\u00E9to funkci pomoc\u00ED vlnkov\u00E9 transformace detekov\u00E1ny body, kter\u00E9 p\u0159edstavuj\u00ED m\u00EDsta potenci\u00E1ln\u011B nedostate\u010Dn\u011B segmentovan\u00FDch kost\u00ED. P\u0159edstaven\u00E1 metoda je testov\u00E1na na re\u00E1ln\u00FDch CT datech." . "Contour Shape Classification for Detection of Mis-segmented Bones in CT Data"@cs . . "Contour Shape Classification for Detection of Mis-segmented Bones in CT Data"@cs . "Brno" . "Brno" . "V p\u0159\u00EDsp\u011Bvku je prezentov\u00E1na metoda pro detekci chybn\u011B segmentovan\u00FDch kost\u00ED v datech z\u00EDskan\u00FDch pomoc\u00ED v\u00FDpo\u010Detn\u00ED rentgenov\u00E9 tomografie (CT) zalo\u017Een\u00E1 na klasifikaci tvar\u016F bin\u00E1rn\u00EDch objekt\u016F. V prvn\u00ED \u010D\u00E1sti je prezentov\u00E1na metoda prahov\u00E1n\u00ED s glob\u00E1ln\u00EDm prahem pro segmentaci kortik\u00E1ln\u00EDch \u010D\u00E1st\u00ED kost\u00ED. Pot\u0159ebn\u00FD pr\u00E1h je ur\u010Den optim\u00E1ln\u00EDm prolo\u017Een\u00EDm histogramu vybran\u00FDm typem pravd\u011Bpodobnostn\u00EDho rozd\u011Blen\u00ED. Kontura z\u00EDskan\u00FDch bin\u00E1rn\u00EDch objekt\u016F je extrahov\u00E1na a pomoc\u00ED kumulativn\u00ED \u00FAhlov\u00E9 funkce je pops\u00E1na jednorozm\u011Brn\u00FDm sign\u00E1lem. N\u00E1sledn\u011B jsou na t\u00E9to funkci pomoc\u00ED vlnkov\u00E9 transformace detekov\u00E1ny body, kter\u00E9 p\u0159edstavuj\u00ED m\u00EDsta potenci\u00E1ln\u011B nedostate\u010Dn\u011B segmentovan\u00FDch kost\u00ED. P\u0159edstaven\u00E1 metoda je testov\u00E1na na re\u00E1ln\u00FDch CT datech."@cs . . . "Janovi\u010D, Tom\u00E1\u0161" . "RIV/00216305:26220/14:PU109189!RIV15-MSM-26220___" . "8802" . "Contour Shape Classification for Detection of Mis-segmented Bones in CT Data" . "RIV/00216305:26220/14:PU109189" . "Student EEICT Proceedings of the 20th Conference - Volume 2" . "2014-04-24+02:00"^^ . "26220" . . "2"^^ . "Neuveden" . . . . "2"^^ . "CT, segmentation, thresholding, cumulative angular function, wavelet transform."@en . . "The possibility of using contour shape classification for detection of mis-segmented bones in computed tomography (CT) data is proposed in this paper. In the first part, the segmentation of cortical bones is implemented by a simple thresholding with global threshold. The threshold is determined by the optimized fitting of a selected type probability distribution to the histogram. Further, the contour extraction is implemented and a suitable shape descriptor, cumulative angular function, is applied. Finally, the points which can potentially indicate mis-segmented bones are detected by using wavelet transform. The proposed technique is tested on the real CT data."@en . "S" . . . "Contour Shape Classification for Detection of Mis-segmented Bones in CT Data" . "3"^^ . "978-80-214-4922-0" . . "[3E88B640F5E9]" . . "Contour Shape Classification for Detection of Mis-segmented Bones in CT Data"@en . "Walek, Petr" . . . . "Contour Shape Classification for Detection of Mis-segmented Bones in CT Data"@en .