Аналіз зображення для визначення найбільш контрасного кольору фону тексту

Abstract

This work delves into the development of a fully automated system for analyzing the color distribution of digital images. This approach uses image processing techniques to identify the color that offers the most contrasting background color for superimposed text. By identifying this color, the method aims to significantly enhance the visual accessibility and distinctiveness of text elements, thereby achieving confidence in the full readability of both black and light text, regardless of the image analyzed. Furthermore, this methodology has the potential to be applied in diverse real-world applications, such as creating accessible web content and generating informative image captions for visually impaired individuals