Classification of Intrusive Igneous Rocks Using Digital Image Processing: A Binary Approach

One of the methods used to classify intrusive igneous rocks is by observing the intensity of light- and dark- coloured mineral. However, this method is normally based on perception, i.e., the outcome might be inconsistent across different observers. In this study, the coloured digital image of intrusive igneous rock is converted to a binary image and the percentages of black pixels are calculated. The results show that the biotite granite, which is felsic and light-coloured rock, contained the least amount of dark minerals, whereas peridotite, the ultramafic igneous rock (dark-coloured) contained the highest percentage of dark minerals, which is more than 60%.