Software analysis of mining images for objects detection

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Authors

Ličev, Lačezar
Babiuch, Marek
Farana, Radim
Tomeček, Jan

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Technická univerzita Košice

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Abstract

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.

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Subject(s)

digital image processing, image registration, phase correlation, threshold, Fourier transform, FOTOM NG, Java, Netbeans platform

Citation

Acta Montanistica Slovaca. 2013, roč. 18, č. 1, s. 59-66.