Abstract
Texture analysis plays a vital role in the area of image understanding research. One of the key areas of research is to compare how well these algorithms rate in differentiating between different textures. Traditionally, texture algorithms have been applied mostly on benchmark data and some studies have found certain algorithms are better suited for differentiating between certain types of textures. In this paper we compare 7 well-established image texture analysis algorithms on the task of classifying rocks.
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Singh, M., Javadi, A., Singh, S. (2004). A Comparison of Texture Teatures for the Classification of Rock Images. In: Yang, Z.R., Yin, H., Everson, R.M. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2004. IDEAL 2004. Lecture Notes in Computer Science, vol 3177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28651-6_26
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DOI: https://doi.org/10.1007/978-3-540-28651-6_26
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