Visual Acoustics Open Dataset: Cross-modal correspondence metrics with human perceptual validation

This repository contains the extended computational pipeline for fractal analysis and individual nevus characterization of human iris images, developed as part of the Argira Station research project. It constitutes the full methodological basis for the comparative study of two unrelated adult subjects (female, 77y and 48y) with contrasting iris phenotypes (uniform dark-brown vs sectoral heterochromia). **This release extends the foundational pipeline** ([DOI 10.5281/zenodo.18764120](https://doi.org/10.5281/zenodo.18764120)) with three new capabilities not present in previous versions: 1. **Individual nevus detection and characterization**: each melanin deposit is segmented as an independent connected component and analyzed for area, angular/radial position, fractal dimension D (box-counting), circularity, elongation, and GLCM texture contrast. 2. **Composite pathology risk score**: combines geometric and textural features (D, circularity, elongation, contrast) into a single metric flagging nevi for longitudinal monitoring — complementing clinical assessment criteria without replacing ophthalmological diagnosis. 3. **Comparative two-subject pipeline**: full side-by-side analysis including D histograms, angular pigment distribution (polar), area vs D scatter, and a numerical metrics table — enabling inter-individual comparison across phenotypically distinct irises. **Key findings of the included paper draft:**- Global fractal dimension of pigment: D = 1.835 (Subject A, 77y) vs D = 1.701 (Subject B/OL, 48y)- Per-nevus D clusters around 1.6 for both subjects, consistent with diffusion-limited aggregation (D_DLA ≈ 1.71), suggesting melanocyte clustering during fetal iris development follows a DLA-like process- Total pigment coverage is conserved across phenotypes: 75.2% vs 71.7%- Pupil-to-iris ratio difference (0.433 vs 0.542) is consistent with published age-related miosis data (Winn et al., 1994) **Files included:** iris_analysis_v2.py · iris_nevi_analysis.py · iris_comparison.py · iris_comparison_AB.png · README.md Related work: Visual Acoustics platform ([DOI 10.5281/zenodo.18760369](https://doi.org/10.5281/zenodo.18760369))