EP 3403238 A1 20181121 - MULTIMODALITY MINERALOGY SEGMENTATION SYSTEM AND METHOD
Title (en)
MULTIMODALITY MINERALOGY SEGMENTATION SYSTEM AND METHOD
Title (de)
MULTIMODALES SYSTEM UND VERFAHREN ZUR MINERALOGIESEGMENTIERUNG
Title (fr)
SYSTÈME ET PROCÉDÉ DE SEGMENTATION DE MINÉRALOGIE À MULTIMODALITÉ
Publication
Application
Priority
US 2016012864 W 20160111
Abstract (en)
[origin: WO2017123196A1] A multimodality imaging system and method for mineralogy segmentation is disclosed. Image datasets of the sample are generated for one or more modalities, including x-ray and focused ion beam scanning electron microscope (FIB-SEM) modalities. Mineral maps are then created using Energy Dispersive X-ray spectroscopy (EDX) from at least part of the sample covered by the image datasets. The EDX mineral maps are applied as a mask to the image datasets to identify and label regions of minerals within the sample. Feature vectors are then extracted from the labeled regions via feature generators such as Gabor filters. Finally, machine learning training and classification algorithms such as Random Forest are applied to the extracted feature vectors to construct a segmented image representation of the sample that classifies the minerals within the sample.
IPC 8 full level
G06T 7/00 (2017.01); G01N 23/04 (2018.01); G01N 33/24 (2006.01); G01V 8/00 (2006.01); H01J 37/28 (2006.01)
CPC (source: EP)
G01N 33/24 (2013.01); G06T 7/0004 (2013.01); G06T 7/11 (2016.12); G01N 23/2206 (2013.01); G01N 23/225 (2013.01); G06T 2207/10061 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30132 (2013.01); H01J 2237/221 (2013.01)
Citation (search report)
See references of WO 2017123196A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
WO 2017123196 A1 20170720; CN 108431870 A 20180821; EP 3403238 A1 20181121; JP 2019504452 A 20190214; JP 6704052 B2 20200603
DOCDB simple family (application)
US 2016012864 W 20160111; CN 201680077959 A 20160111; EP 16705331 A 20160111; JP 2018536138 A 20160111