Application of Textural Features in the Analysis of Breakstone Grading
Accuracy of breakstone grain-size analysis using digital images in the initial method and its modification based on algorithm proposed by D. Rubin is compared. A modification with averaging offeatures in all directions and the method with a classification feature represented by difference of intensi...
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Veröffentlicht in: | Journal of mining science 2019, Vol.55 (1), p.40-44 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Accuracy of breakstone grain-size analysis using digital images in the initial method and its modification based on algorithm proposed by D. Rubin is compared. A modification with averaging offeatures in all directions and the method with a classification feature represented by difference of intensity distribution functions of fragment projections are described. The results obtained using these methods in a series of tests on grading of five breakstone fractions measured in a certified laboratory. It is shown that the modified method by D. Rubin with averaging in all directions provides the highest accuracy. |
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ISSN: | 1062-7391 1573-8736 |
DOI: | 10.1134/S1062739119015275 |