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ESTIMATION OF VALUABLE MINERAL CONTENT IN RUN-OF-MINE BASED ON THE LINE RECOVERY IN IMAGE INTENSITY SPECTRUM

Journal: Science and world (Vol.1, No. 33)

Publication Date:

Authors : ; ;

Page : 117-119

Keywords : run-of-mine; valuable features; images of minerals; feature extraction; identification; recognition; classification; Mellin transform; recovery algorithms;

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Abstract

The methods and algorithms for mineral feature extraction in run-of-mine materials based on recovering a function through its integrals on the family of lines in the spectrum of two intensities are developed. Recovery algorithms use two-fold forward and inverse Mellin transforms and are computed in parallel. The software is implemented in Object Pascal using Delphi 7 visual development environment and in modular form written in C and Assembler.

Last modified: 2016-08-17 20:35:10