Software Analysis of Mining Images for Objects Detection

Autor:	Licev, Lacezar, Marek Babiuch, Farana, Radim, Tomecek, Jan
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	FOTOMNG lcsh:TN1-997 lcsh:Geology image registration Threshold lcsh:QE1-996.5 Fourier transform FOTOM NG Netbeans platform Phase correlation Digital image processing Java lcsh:Mining engineering. Metallurgy
Zdroj:	Acta Montanistica Slovaca, Vol 18, Iss 1, Pp 59-66 (2013) ResearcherID Scopus-Elsevier Web of Science
ISSN:	1335-1788
Popis:	The contribution is dealing with the development of the new module of robust FOTOMNG system for editing images from a video or mining image from measurements for subsequent improvement of detection of required objects in the 2D image. The generated module allows create a final high-quality picture by combination of multiple images with the search objects. We can combine input data according to the parameters or based on reference frames. Correction of detected 2D objects is also part of this module. The solution is implemented into FOTOMNG system and finished work has been tested in appropriate frames, which were validated core functionality and usability. Tests confirmed the function of each part of the module, its accuracy and implications of integration. Web of Science 18 1 66 59
Databáze:	OpenAIRE
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