Image analysis of natural products
Natural products are exposed to various environmental influences resulting in a high phenotypical variability. This makes it very difficult to develop automatic recognition algorithms in contrast to the recognition of manufactured products. Recent developments in the field of computer science, especially the development of powerful classification algorithms like the support vector machine make it possible to face also such complicated tasks. In this paper we present an approach to classify the impurities of a wheat sample to analyse the quality.