"1"^^ . "Applied Methods For Transparent Materials Inspection"@en . "\u0158ada pr\u016Fmyslov\u00FDch linek obsahuje kamerov\u00E9 inspek\u010Dn\u00ED syst\u00E9my zvy\u0161uj\u00EDc\u00ED jakost produkce. P\u0159edlo\u017Een\u00E1 pr\u00E1ce se proto zab\u00FDv\u00E1 aplikacemi metod po\u010D\u00EDta\u010Dov\u00E9ho zpracov\u00E1n\u00ED obrazu v defektoskopii. Konkr\u00E9tn\u011B se jedn\u00E1 o vyhodnocen\u00ED z\u00E1vadnosti sklen\u011Bn\u00FDch lahv\u00ED v potravin\u00E1\u0159sk\u00FDch provozech pomoc\u00ED vizu\u00E1ln\u00EDho syst\u00E9mu BTCAM612, kter\u00FD je ve st\u00E1vaj\u00EDc\u00ED konfiguraci instalov\u00E1n v tuzemsku a n\u011Bkolika zem\u00EDch ve sv\u011Bt\u011B. Syst\u00E9m je vyv\u00EDjen ve spolupr\u00E1ci s brn\u011Bnskou v\u00FDvojovou firmou CAMEA spol. s r.o. a je jej\u00EDm v\u00FDhradn\u00EDm vlastn\u00EDkem. V samotn\u00E9 pr\u00E1ci je postupn\u011B pops\u00E1n cel\u00FD proces kontroly kvality l\u00E1hve. V prvn\u00ED \u0159ad\u011B je to hardwarov\u00E9 po\u0159\u00EDzen\u00ED sn\u00EDmk\u016F t\u0159\u00ED hlavn\u00EDch \u010D\u00E1st\u00ED l\u00E1hve podl\u00E9haj\u00EDc\u00EDch inspekci. Jedn\u00E1 se o hrdlo, dno a st\u011Bnu l\u00E1hve. N\u00E1sleduj\u00ED kapitoly o zpracov\u00E1n\u00ED obrazu a klasifikaci p\u0159\u00EDznak\u016F. P\u0159\u00EDznaky jsou z obrazu z\u00EDsk\u00E1ny na z\u00E1klad\u011B detekce nehomogenit sklen\u011Bn\u00E9ho materi\u00E1lu. Velk\u00E1 \u010D\u00E1st pr\u00E1ce je zam\u011B\u0159ena na filtraci syntetick\u00FDch"@cs . "Applied Methods For Transparent Materials Inspection"@en . . . "Aplikace metod rozpozn\u00E1v\u00E1n\u00ED obrazu v defektoskopii" . "Visual inspecting systems, defectoscopy, transparent materials, pattern recognition, geometric and complex invariants functions, class representative classification."@en . . "26220" . "\u0158ada pr\u016Fmyslov\u00FDch linek obsahuje kamerov\u00E9 inspek\u010Dn\u00ED syst\u00E9my zvy\u0161uj\u00EDc\u00ED jakost produkce. P\u0159edlo\u017Een\u00E1 pr\u00E1ce se proto zab\u00FDv\u00E1 aplikacemi metod po\u010D\u00EDta\u010Dov\u00E9ho zpracov\u00E1n\u00ED obrazu v defektoskopii. Konkr\u00E9tn\u011B se jedn\u00E1 o vyhodnocen\u00ED z\u00E1vadnosti sklen\u011Bn\u00FDch lahv\u00ED v potravin\u00E1\u0159sk\u00FDch provozech pomoc\u00ED vizu\u00E1ln\u00EDho syst\u00E9mu BTCAM612, kter\u00FD je ve st\u00E1vaj\u00EDc\u00ED konfiguraci instalov\u00E1n v tuzemsku a n\u011Bkolika zem\u00EDch ve sv\u011Bt\u011B. Syst\u00E9m je vyv\u00EDjen ve spolupr\u00E1ci s brn\u011Bnskou v\u00FDvojovou firmou CAMEA spol. s r.o. a je jej\u00EDm v\u00FDhradn\u00EDm vlastn\u00EDkem. V samotn\u00E9 pr\u00E1ci je postupn\u011B pops\u00E1n cel\u00FD proces kontroly kvality l\u00E1hve. V prvn\u00ED \u0159ad\u011B je to hardwarov\u00E9 po\u0159\u00EDzen\u00ED sn\u00EDmk\u016F t\u0159\u00ED hlavn\u00EDch \u010D\u00E1st\u00ED l\u00E1hve podl\u00E9haj\u00EDc\u00EDch inspekci. Jedn\u00E1 se o hrdlo, dno a st\u011Bnu l\u00E1hve. N\u00E1sleduj\u00ED kapitoly o zpracov\u00E1n\u00ED obrazu a klasifikaci p\u0159\u00EDznak\u016F. P\u0159\u00EDznaky jsou z obrazu z\u00EDsk\u00E1ny na z\u00E1klad\u011B detekce nehomogenit sklen\u011Bn\u00E9ho materi\u00E1lu. Velk\u00E1 \u010D\u00E1st pr\u00E1ce je zam\u011B\u0159ena na filtraci syntetick\u00FDch" . "P(1M0567), Z(MSM0021630529)" . . "RIV/00216305:26220/08:PU74723" . . "Aplikace metod rozpozn\u00E1v\u00E1n\u00ED obrazu v defektoskopii"@cs . . . . . . . "Aplikace metod rozpozn\u00E1v\u00E1n\u00ED obrazu v defektoskopii"@cs . "A lot of production lines contain camera inspection systems that increase quality of production. Therefore this presented work deals with applications of computer image processing methods in defectoscopy. Concretely the thesis is concerned with defects evaluation of glass bottles in food operations by the help of visual system BTCAM612, which is in existing configuration installed inland and in several foreign countries. The system is developed in conjunction with developer company CAMEA Ltd. from Brno and it is its sole ownership. The whole process of bottles inspection is described in sequence. First of all it is the hardware acquisition of images of three main controlled parts of bottles - neck, bottom and side. Next chapters are concentrated on image processing and features classification. The features are obtained from image by methods based on detection of in-homogeneities on glass material. Essential part of work is focused on filtration of synthetic patterns from bottles bottoms using function"@en . "Aplikace metod rozpozn\u00E1v\u00E1n\u00ED obrazu v defektoskopii" . . . "RIV/00216305:26220/08:PU74723!RIV10-MSM-26220___" . . . "[5267C57D7116]" . . . "1"^^ . "356591" . . . "Hor\u00E1k, Karel" . .