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

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.