Texture Recognition from Positions of the Theory of Active Perceptions

Abstract

Recognition of textures is one of the topical tasks of computer vision. The key step in solving this problem is the formation of feature description of the texture image. A new approach to the formation of texture features based on the theory of active perception is proposed. The results of a computational experiment based on the Brodatz-32 database are presented, and the accuracy of the classification is demonstrated. The application of the proposed feature systems for recognition of snow and land textures in the solution of the problem of auto piloting in complex natural and climatic conditions is considered.