Abstract
Agaricus bisporus (white button mushrooms) is nutritious edible fungus, and the whiteness of the mushroom is an important indicator to evaluate its freshness and quality. To realize the accurate measurement of A. bisporus’ whiteness, this paper proposes a white measurement method of A. bisporus based on image analysis. An imaging system was built with a D65 standard light source, and a nonlinear color calibration model was constructed. The image RGB value was converted into a CIE-XYZ tri-stimulus value, and then the CIE Ganz whiteness formula was used to accurately determine the whiteness. Based on colorimeter measurement results, the image system was calibrated using 8 Gy-level cards, and the whiteness of A. bisporus with various whiteness grades was measured. The measurements of machine vision and colorimeter had a high correlation (r = 0.99), and the color difference ΔE*ab < 2. For 4 groups of A. bisporus with different whiteness grades, the measurement results of machine vision among the four groups were significantly different (P < 0.01). At the same time, the whiteness of A. bisporus under different storage conditions was measured by machine vision. There was a significant correlation between the storage time and whiteness, which indicated that the whiteness value determined by machine vision can be used to quantitatively evaluate the freshness of A. bisporus.
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Acknowledgements
This study was supported by the National Key R&D Plan Key projects of Scientific and technological Innovation Cooperation between Governments (Grant No. 2019YFE0125100), and the National Natural Science Foundation of China (Grant No. 51975186).
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Zhao, K., Zhang, M., Ji, J. et al. Whiteness measurement of Agaricus bisporus based on image processing and color calibration model. Food Measure 17, 2152–2161 (2023). https://doi.org/10.1007/s11694-022-01748-w
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DOI: https://doi.org/10.1007/s11694-022-01748-w