Experiments with two industrial problems using texture classification based on feature distributions

Our recent research results indicate that a very good texture discrimination can be obtained by using simple texture measures based on gray level differences or local binary patterns, for example, with a classification principle based on a comparison of distributions of feature values. In this paper two case studies dealing with the problems of determining the composition of mixtures of materials and metal strip inspection are considered.

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