. "RIV/61989100:27240/13:86087520!RIV14-MSM-27240___" . "27240" . . . . . "978-80-248-3190-9" . "Object recognition in mining images by the FOTOMNG system"@en . . "2013-10-02+02:00"^^ . "Rozpozn\u00E1v\u00E1n\u00ED objekt\u016F na sn\u00EDmc\u00EDch v hornictv\u00ED v syst\u00E9mu FOTOM-NG"@cs . "[80939C8A8B8C]" . . "C\u00EDlem t\u00E9to pr\u00E1ce je n\u00E1vrh a realizace modul\u016F, kter\u00E9 budou n\u00E1pomocny u\u017Eivateli k pokro\u010Dil\u00E9mu rozpozn\u00E1v\u00E1n\u00ED z\u00E1jmov\u00FDch objekt\u016F, nap\u0159\u00EDklad profilu d\u016Fln\u00EDch objekt\u016F i jin\u00FDch. Moduly umo\u017En\u00ED po\u010D\u00E1te\u010Dn\u00ED \u00FApravu pomoci \u0161irok\u00E9 \u0161k\u00E1ly r\u016Fzn\u00FDch obrazov\u00FDch filtr\u016F, kter\u00E9 dopomohou k p\u0159esn\u011Bj\u0161\u00ED pr\u00E1ci druh\u00E9ho modulu a to samotnou automatickou segmentaci, kterou zajist\u00ED metody aktivn\u00EDch kontur za pomoc\u00ED metody Gradient Vector Flow a Fast Marching Level Sety. Oba moduly jsou implementov\u00E1ny v jazyce Java s frameworkem JAI a jsou zahrnuty do syst\u00E9mu FOTOMNG." . "Vysok\u00E1 \u0161kola b\u00E1\u0148sk\u00E1 - Technick\u00E1 univerzita Ostrava" . . "The aim of this work is the design and implementation of modules that will assist the user to the advanced detection of objects of interest, such as the profile of mining and other objects. Modules allow initial treatment with a wide range of different image filters, which will allow for more precise work of the second module, and this alone automatic segmentation which ensure active contour method for using the Gradient Vector Flow and Fast Marching Level Sets. Both modules are implemented in Java with the framework JAI and included in the system FOTOMNG."@en . "RIV/61989100:27240/13:86087520" . "Ostrava" . "S" . . . . "Sborn\u00EDk refer\u00E1t\u016F mezin\u00E1rodn\u00ED konference %22Geod\u00E9zie a D\u016Fln\u00ED m\u011B\u0159ictv\u00ED 2013%22 : XX. konference SDMG : Mil\u00EDn, 2.-4. \u0159\u00EDjna 2013" . "Li\u010Dev, La\u010Dezar" . "Rozpozn\u00E1v\u00E1n\u00ED objekt\u016F na sn\u00EDmc\u00EDch v hornictv\u00ED v syst\u00E9mu FOTOM-NG" . "Mil\u00EDn" . . "Rozpozn\u00E1v\u00E1n\u00ED objekt\u016F na sn\u00EDmc\u00EDch v hornictv\u00ED v syst\u00E9mu FOTOM-NG"@cs . . "1"^^ . "103622" . "C\u00EDlem t\u00E9to pr\u00E1ce je n\u00E1vrh a realizace modul\u016F, kter\u00E9 budou n\u00E1pomocny u\u017Eivateli k pokro\u010Dil\u00E9mu rozpozn\u00E1v\u00E1n\u00ED z\u00E1jmov\u00FDch objekt\u016F, nap\u0159\u00EDklad profilu d\u016Fln\u00EDch objekt\u016F i jin\u00FDch. Moduly umo\u017En\u00ED po\u010D\u00E1te\u010Dn\u00ED \u00FApravu pomoci \u0161irok\u00E9 \u0161k\u00E1ly r\u016Fzn\u00FDch obrazov\u00FDch filtr\u016F, kter\u00E9 dopomohou k p\u0159esn\u011Bj\u0161\u00ED pr\u00E1ci druh\u00E9ho modulu a to samotnou automatickou segmentaci, kterou zajist\u00ED metody aktivn\u00EDch kontur za pomoc\u00ED metody Gradient Vector Flow a Fast Marching Level Sety. Oba moduly jsou implementov\u00E1ny v jazyce Java s frameworkem JAI a jsou zahrnuty do syst\u00E9mu FOTOMNG."@cs . . . "Rozpozn\u00E1v\u00E1n\u00ED objekt\u016F na sn\u00EDmc\u00EDch v hornictv\u00ED v syst\u00E9mu FOTOM-NG" . . . . "10"^^ . "Object recognition in mining images by the FOTOMNG system"@en . . "1"^^ . "system; FOTOMNG; images; mining; recognition; Object"@en .