Засоби самонавчання для класифікації зображень

Abstract

The paper researches methods of structural image classification based on self-learning in the feature space represented by a set of keypoint descriptors. Experiments have been conducted by using the Kohonen network for training and classification in a database of four images, and the effectiveness of selflearning implementation has been confirmed.