Computerized classification system for the identification of soil microorganisms

The paper presents the method of soil microorganisms identification in the microscopic digital images. The solved task includes: segmentation, feature generation, selection of the most important features and the final recognition stage applying 5 different solutions of classifiers. The paper presents and discusses the results concerning the recognition of several most popular soil microorganisms. The proposed system is able to recognize the microorganisms with the accuracy around 99%.

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