Application of Texture Features and Machine Learning Methods to Grain Segmentation in Rock Material Images

Application of Texture Features and Machine Learning Methods to Grain Segmentation in Rock Material Images

The segmentation of rock grains on images depicting bulk rock materials is considered. The rocks’ material images are transformed by selected texture operators, to obtain a set of features describing them. The first order features, second-order features, run-length matrix, grey tone difference matri...

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Bibliographic Details
Main Authors: Karolina Nurzynska, Sebastian Iwaszenko
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2020-06-01
Series:Image Analysis and Stereology
Subjects:
classification
grain sizes
object segmentation
texture features
Online Access:https://www.ias-iss.org/ojs/IAS/article/view/2186

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