دسته بندی:
بینایی ماشین - Machine vision
سال انتشار:
2022
عنوان انگلیسی مقاله:
Human perception of color differences using computer vision system measurements of raw pork loin
ترجمه فارسی عنوان مقاله:
درک انسان از تفاوتهای رنگی با استفاده از اندازهگیریهای سیستم بینایی کامپیوتری گوشت خوک خام
منبع:
ScienceDirect- Elsevier- Meat Science, 188 (2022) 108766: doi:10:1016/j:meatsci:2022:108766
نویسنده:
Brianne A. Altmann
چکیده انگلیسی:
In the food industry, product color plays an important role in influencing consumer choices. Yet, there remains
little research on the human ability to perceive differences in product color; therefore, preference testing is
subjective rather than based on quantitative colors. Using a de-centralized computer-aided systematic discrim-
ination testing method, we ascertain consumers’ ability to discern between systematically varied colors. As a case
study, the colors represent the color variability of fresh pork as measured by a computer vision system. Our
results indicate that a total color difference (ΔE) of approximately 1 is discriminable by consumers. Furthermore,
we ascertain that a change in color along the b*-axis (yellowness) in CIELAB color space is most discernable,
followed by the a*-axis (redness) and then the L*-axis (lightness). As developed, our web-based discrimination
testing approach allows for large scale evaluation of human color perception, while these quantitative findings
on meat color discrimination are of value for future research on consumer preferences of meat color and beyond.
keywords: تست تبعیض | تست مثلث | ترجیح رنگ | ظاهر غذا | رنگ گوشت | Discrimination testing | Triange test | Color preference | Food appearance | Meat color
قیمت: رایگان
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