An image analysis method to determine crystal size distributions of olivine in kimberlite

Computational Geosciences

Volumn 13, Issue 3, 2009, Pages 255-268

  Holden, E J ^a   Moss, S ^b   Russell, J K ^b   Dentith, M C ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Crystal size distribution; Feature extraction; Image analysis; Mineral grain detection; Olivine size distribution

Indexed keywords

AUTOMATIC ANALYSIS; AUTOMATIC DETECTION; AUTOMATIC IMAGE ANALYSIS; BOUNDARY RECOGNITION; CRYSTAL EDGES; CRYSTAL SIZE DISTRIBUTION; CRYSTAL SIZE DISTRIBUTIONS; DATA SETS; DETECTION PROCESS; DETECTION TECHNIQUE; DIGITAL IMAGE; DIVERSE RANGE; ENHANCEMENT TECHNIQUES; GREYSCALE; IMAGE ANALYSIS METHOD; KIMBERLITE BODY; LOCAL STANDARD DEVIATION; MAGMATIC ROCK; MAHALANOBIS DISTANCES; MANUAL TRACING; MINERAL GRAIN DETECTION; MODEL-BASED; NOISE REMOVAL; OLIVINE CRYSTALS; REGIONS OF INTEREST; SEGMENTATION PROCESS; STANDARD METHOD; TEXTURE ANALYSIS; WATER-SHED ALGORITHM;

CRYSTALS; EDGE DETECTION; ERROR DETECTION; FEATURE EXTRACTION; GRAIN SIZE AND SHAPE; IMAGE ANALYSIS; IMAGE ENHANCEMENT; MINERALS; OLIVINE; SIZE DETERMINATION; SIZE DISTRIBUTION;

SILICATE MINERALS;

ALGORITHM; CRYSTAL PROPERTY; DATA SET; DETECTION METHOD; DIGITAL IMAGE; EMPLACEMENT; IMAGE ANALYSIS; KIMBERLITE; OLIVINE; PATTERN RECOGNITION; SEGMENTATION; SIZE DISTRIBUTION;

EID: 70449523373     PISSN: 14200597     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10596-008-9115-9     Document Type: Article

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