The influence of the opponent's color model on the general capabilities of neural networks

Abstract

The object of research is the process of preprocessing image data, which leads to the improvement of the neural network. The subject of the research is the preprocessing of the color spectrum of the image and changes in its model. The purpose of the work is a method of improving the performance of the neural network in the task of classifying color images by changing the color model at the preprocessing stage. The proposed color model allows you to exclude color ranges with zero values that do not affect the learning and recognition process. Also, this model allows you to use mutually exclusive data processing methods. Ref. 5, pic. 5.

Keywords

• artificial neural networks
• opponent cells
• color models
• data vectors
• signal processing
• RGB