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Article detail · 2025 · article

Impact of Correlated Color Temperature on Red Meat Color Assessment via Image Processing Systems

ISSN0022-1147
YÖKSİS OpenAlex SJR Q1 JCR Q2
Year2025
Citations3OpenAlex
Percentile%85.0
FWCI1.861.00 = world average
Scopus (SJR)Q1
WoS (JCR)Q2

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueJournal of Food Science
  • Catalog match (ISSN)Journal of Food Science
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex English

The color of red meat significantly influences consumer perception and purchasing decisions, making accurate color evaluation crucial for the meat industry. This study examines how the correlated color temperature (CCT) of the light source affects various color parameters (L, a*, b*, C*, hue angle, and redness index) of red meat samples analyzed using an image processing system (IPS). Meat samples were photographed under adjustable LED lighting with CCT ranging from 2900 to 7800 K, while controlling for illumination intensity and ensuring a color rendering index (CRI) above 95. The results showed that while the lightness (L*) values remained statistically unchanged (p > 0.05), the redness (a*) and yellowness (b*) values were significantly affected by CCT (p < 0.05). Specifically, the a* value peaked at 5100 K, and the b* values increased sharply at CCTs above 6900 K. The hue angle increased significantly from 35.02 at 5100 K to 47.11 at 7200 K, indicating a perceptual color shift from red to yellowish-brown tones. In contrast, the chroma (C*) values did not exhibit any significant changes (p > 0.05). These findings emphasize the importance of standardizing illumination conditions in IPS-based color assessments and suggest that D50 (5000 K) illumination may better preserve the natural red appearance of meat than the commonly used D65 (6500 K) standard. PRACTICAL APPLICATIONS: Correlated color temperature (CCT) of the light source can affect color data. D50 illumination provides more accurate redness perception than D65 in red meat. Total color differences between CCT extremes are visually detectable.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

3citationsOpenAlex · cited_by_count (cache / database)

2 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2026 A slow-growth model for fast-growing broilers: effects on breast meat quality and myopathy incidenceCitations 1 · OpenAlex
  2. 2026 Comparative Evaluation of Colorimetric and Computer Vision Systems for Red Meat Color Analysis During Refrigerated StorageCitations 0 · OpenAlex

Authors

2
  1. ALPER GÜNGÖREN KASTAMONU ÜNİVERSİTESİ 1
  2. GÜLŞAH GÜNGÖREN KASTAMONU ÜNİVERSİTESİ 2