English

Tuning CLD Maps

Computer Vision and Pattern Recognition 2014-09-12 v1

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.

Keywords

Cite

@article{arxiv.1003.5821,
  title  = {Tuning CLD Maps},
  author = {Roberto Marazzato and Amelia Carolina Sparavigna},
  journal= {arXiv preprint arXiv:1003.5821},
  year   = {2014}
}

Comments

Keywords: coherence length, image analysis, 2D textures; texture functions; defect localisation; directional defect pattern; optimization; histogram

R2 v1 2026-06-21T15:04:31.370Z