What does this research mean for the field?

The updated v5.1 of the Iris Fractal & Nevi Analysis pipeline improves segmentation stability across iris phenotypes and image modalities without changing the architecture. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to analyze the pigment architecture of irises and evaluate pathology markers in nevi using an updated analytical pipeline.

March 1, 2026Open Access

Iris Fractal & Nevi Analysis: Comparative Study of Pigment Architecture and Pathology Markers — Argira Station (v5.1)

Puntos clave

This research aims to analyze the pigment architecture of irises and evaluate pathology markers in nevi using an updated analytical pipeline.
Conducted comparative analysis on biometric images of irises from two calibrated subjects with brown and green-hazel irises.
Applied fixes to improve segmentation stability and accuracy: adjusted NEVI_MIN_AREA, adaptive LAB sigma, and saturation filters.
Validated pipeline with synthetic and external datasets from the Kaggle MMU NIR dataset.
Subject A had 29 nevi with an Auric Index of 0.847 and Subject B had 23 nevi with an Auric Index of 0.840, both showing stability (p>0.99).
The synthetic validation demonstrated the Auric Index effectively measures pigment organization with a D_global of 1.849 and p=0.963.
The updated pipeline runs successfully on real biometric images without errors, ensuring robustness.

Resumen

Updated release v5. 1. Robustness fixes applied after validation on real biometric images (Kaggle MMU NIR dataset) and synthetic simulator. Architecture unchanged — fixes improve segmentation stability across iris phenotypes and image modalities. SUBJECT A (brown iris, calibrated): 29 nevi. Dglobal=1. 868. Dₙevi=1. 572±0. 115. Auric Index A=0. 847. p=0. 993. SUBJECT B/OL (green-hazel, sectorial heterochromia, calibrated): 23 nevi. Dglobal=1. 836. Dₙevi=1. 629±0. 086. Auric Index A=0. 840. p=0. 999. SYNTHETIC VALIDATION (browndark, goldenₒrg=0. 78 injected): Auric Index A=0. 847 recovered. p=0. 963. Dglobal=1. 849. Confirms Auric Index correctly measures golden angle organization. EXTERNAL VALIDATION (Kaggle MMU NIR, 2 images): Pipeline runs end-to-end without errors on real external images. nₙevi=1-3 (expected for NIR biometric format, not clinical). NEW v5. 1 fixes: - NEVIMINAREA: 30 → 80 px (reduces edge fragmentation) - Adaptive LAB sigma: 1. 5 → 1. 0 (NIR + visible color compatible) - Saturation filter percentile: 25% → 10% (permissive for NIR) - QC checks: fatal errors → non-fatal warnings (analysis always continues) - Morphological opening 3×3 added in adaptive LAB segmentation Both subjects maintain A≈0. 84 with p>0. 99. Validation requires n=40-50 cohort. Related preprint: https: //doi. org/10. 5281/zenodo. 18781344Phyllotaxis base: https: //doi. org/10. 5281/zenodo. 18760369Dataset v2: https: //doi. org/10. 5281/zenodo. 18799576Dataset v3: https: //doi. org/10. 5281/zenodo. 18803498

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