Filtering of the fine-structured components of images with textual information by the TextSmooth software

Abstract

In this paper we presented an overview of the especial computational method based on the inverse median filtering of the fine-structured components of images with textual information with compensation for the edge distortions, as well as the computational method for determining the constants of mutual recalculation of images with textual information from an information contained in these images. Such computational methods are implemented as a software called “TextSmooth” using the Java programming language and JavaFX technology. The software has the different parameters to be set and tuned for the better quality of processing, visualization of the computational process and the additional useful features. The TextSmooth software was designed especially for the easy and quick filtering of the different types of images with textual information using the graphical user interface (GUI) with maximum usability. The TextSmooth software was developed during research in scope of the CoLiTec project. The TextSmooth software was tested on the images with different resolutions, sizes, textual information, and observational condition.