Unsupervised Classification of Intrusive Igneous Rock Thin Section Images using Edge Detection and Colour Analysis

Classification of rocks is one of the fundamental tasks in a geological study. The process requires a human expert to examine sampled thin section images under a microscope. In this study, we propose a method that uses microscope automation, digital image acquisition, edge detection and colour anal...

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Bibliographic Details

Main Authors:	Silvia, Joseph, Hamimah, Ujir, Irwandi, Hipiny
Format:	Proceeding
Language:	en
Published:	2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/39747/1/Unsupervised%20Classification%20of%20Intrusive%20Igneous.pdf http://ir.unimas.my/id/eprint/39747/ https://ieeexplore.ieee.org/document/8120669
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