White Cabbage RGB and UV-Induced Fluorescence Dataset During Ambient Storage

This dataset contains RGB and UV-induced fluorescence images of a single white cabbage head (Brassica oleracea var. capitata) monitored during 14 consecutive days of ambient storage. The cabbage was stored at 25 ± 1°C and 65–70% relative humidity. One RGB image and one UV-induced fluorescence image were acquired each day under fixed imaging conditions, resulting in 14 paired temporal observations (28 images in total). The dataset also includes structured numerical data supporting the associated study, including RGB and UV channel intensities, grey-level co-occurrence matrix (GLCM) texture descriptors (contrast, correlation, energy, and homogeneity), exploratory Pearson correlation results, and phase-based summaries of temporal image changes. GLCM features were calculated from 8-bit grayscale images using a pixel distance of one and four orientations (0°, 45°, 90°, and 135°), with the descriptor values averaged across orientations. The dataset was generated as part of a single-subject longitudinal proof-of-concept study. The proposed temporal phases represent exploratory, specimen-specific image changes and should not be interpreted as validated freshness classes, commercial quality thresholds, or food-safety criteria. No independent physicochemical, microbial, mechanical, or sensory reference measurements were included in the study. The data support the study entitled “Phase-based monitoring of white cabbage freshness during ambient storage using integrated RGB and UV-induced fluorescence imaging with GLCM texture analysis: A proof-of-concept study.”