Класифікація зображень з адитивним гаусівським шумом з допомогою метода ключових точок

Abstract

This work is devoted to the classification of images, that are noisy with additive Gaussian noise by the key points method (ORB). The classifier is implemented in a database of three etalons. For each etalon, 30 experiments were carried out. Then the efficiency of the classifier was estimated using the quality metrics Precision and Recall.