Macroscopic Rock Texture Image Classification Using an Hierarchical Neuro-Fuzzy System

This paper explores the use of an hierarchical neurofuzzy model for image classification of macroscopic rock texture. The relevance of this study is to help geologists in diagnosing and planning the oil reservoir exploitation. The same approach can be also applied to metals, in order to classify the different types of materials based on their grain texture. We present an image classification for macroscopic rocks, based on these texture descriptors and on a neuro-fuzzy approach.