Tuning CLD Maps

TL;DR

This paper introduces methods to optimize threshold parameters in Coherence Length Diagrams for improved image analysis, balancing computational support and visual map quality.

Contribution

It presents a coupled optimization and histogram-based approach to effectively tune thresholds in CLD maps, enhancing their usability.

Findings

Optimized threshold ranges for better map support and appearance.

Effective control of CLD analysis through proposed methods.

Improved defect map quality and coherence length diagram visualization.

Abstract

The Coherence Length Diagram and the related maps have been shown to represent a useful tool for image analysis. Setting threshold parameters is one of the most important issues when dealing with such applications, as they affect both the computability, which is outlined by the support map, and the appearance of the coherence length diagram itself and of defect maps. A coupled optimization analysis, returning a range for the basic (saturation) threshold, and a histogram based method, yielding suitable values for a desired map appearance, are proposed for an effective control of the analysis process.