Mineral identification using color spaces and artificial neural networks

Computers and Geosciences

Volumn 36, Issue 1, 2010, Pages 91-97

  Baykan, Nurdan Akhan ^a   Yilmaz, Nihat ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; HSV; Mineral; RGB; Thin section image

Indexed keywords

ARTIFICIAL NETWORKS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; COLOR SPACE; CROSS VALIDATION; DATA SETS; FEED-FORWARD NETWORK; HSV; INPUT PARAMETER; MINERAL IDENTIFICATION; MINERAL SAMPLES; MINIMUM SQUARE ERRORS; OPTICAL DATA; PIXEL VALUES; POLARIZING MICROSCOPES; RGB; THIN SECTION; THIN SECTION IMAGE; THREE-LAYER;

BACKPROPAGATION; COLOR; ERROR CORRECTION; IDENTIFICATION (CONTROL SYSTEMS); MICA; NEURAL NETWORKS; OXIDE MINERALS; QUARTZ; SILICATE MINERALS;

MINERALS;

ARTIFICIAL NEURAL NETWORK; COLOR; DATA SET; IDENTIFICATION METHOD; IMAGE ANALYSIS; MINERALOGY;

SIMPLEXVIRUS;

EID: 70350742990     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2009.04.009     Document Type: Article

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