IMPACT OF IMAGE PRE-PROCESSING ON QUALITY OF TRAINING NEURAL NETWORK FOR RECOGNITION

Abstract

The article offers a view on the methods for developing, and the stages of pro-processing images for training sampling in neural networks, as well as their impact on the quality of training.

Keywords

• нейронные сети
• обучающие выборки
• распознавание
• обработка изображений
• обучение
• эластичные деформации
• аффинные преобразования
• фильтрация
• neural networks
• training sampling
• recognition
• image pro-cessing
• training
• elastic deformation
• affine transformation
• filtration