Vermiculite ore classification by texture analysis

Abstract

In this paper, two micro-patterns descriptors are evaluated in the vermiculite ore classification: the Local Binary Pattern (LBP) and the Local Fuzzy Pattern (LFP). A micro-pattern is the gray-level pixels’ structure in an image neighborhood that describes the spatial specific context of various features, such as edges, lines, spots, blobs, corners or textures. In LBP approach is made a crisp comparison among the gray-levels values of the image pixel neighborhood and the LFP approach models the gray-level distribution of an image micro-pattern as a fuzzy set, and based on membership function generate fuzzy-codes that represents the membership degree of each neighborhood pixel to the central one. This is a quite appropriate alternative to deal with uncertainties by the acquisition process in digital images. The performance of the classification is evaluated using chi-square distance and the best result was obtained applying the LFP descriptor.FAPESPCAPE