Tang et al., 2020 - Google Patents
Machine learning for point counting and segmentation of arenite in thin sectionTang et al., 2020
- Document ID
- 4543798503975388401
- Author
- Tang D
- Milliken K
- Spikes K
- Publication year
- Publication venue
- Marine and Petroleum Geology
External Links
Snippet
Thin sections provide geoscientists with a wealth of information about composition and diagenetic history of sedimentary rocks. From a practical perspective, the quantity of detrital clay minerals or percentage of porosity can play a large role in the quality of a reservoir …
- 238000010801 machine learning 0 title abstract description 25
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/46—Extraction of features or characteristics of the image
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/20112—Image segmentation details
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- G—PHYSICS
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- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
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- G06K9/20—Image acquisition
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- G—PHYSICS
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
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