Using image partitions in 4th Dimension

TL;DR

This paper presents a novel method for image partitioning and interaction within the 4th Dimension database environment, enabling efficient detection, highlighting, storage, and reconstruction of image sectors.

Contribution

It introduces an alternative approach to image interaction and storage in 4th Dimension using mathematical functions and layered image techniques.

Findings

Efficient detection of clicked sectors in images.

Highlighting and combining image sectors dynamically.

Reconstruction of stored image graphs from layered data.

Abstract

I have plotted an image by using mathematical functions in the Database "4th Dimension". I'm going to show an alternative method to: detect which sector has been clicked; highlight it and combine it with other sectors already highlighted; store the graph information in an efficient way; load and splat image layers to reconstruct the stored graph.