Applying multi-angled parallelism to Spanish topographical maps

TL;DR

This paper adapts the Multi-Angled Parallelism (MAP) method for recognizing lines in Spanish topographical maps, demonstrating its effectiveness in a real-world application and exploring customization for specific map features.

Contribution

It introduces an adaptation of MAP for topographical map line recognition, testing its practical application and customization capabilities.

Findings

Effective line recognition in topographical maps

Successful adaptation of MAP to real-world data

Insights into customizing MAP for specific applications

Abstract

Multi-Angled Parallelism (MAP) is a method to recognize lines in binary images. It is suitable to be implemented in parallel processing and image processing hardware. The binary image is transformed into directional planes, upon which, directional operators of erosion-dilation are iteratively applyed. From a set of basic operators, more complex ones are created, which let to extract the several types of lines. Each type is extracted with a different set of operations and so the lines are identified when extracted. In this paper, an overview of MAP is made, and it is adapted to line recognition in Spanish topographical maps, with the double purpose of testing the method in a real case and studying the process of adapting it to a custom application.