Non-destructive detection method and experiment of pomelo volume and flesh content based on image fusion

文献类型： 外文期刊

第一作者： Han, Yiyang

作者： Han, Yiyang;Zhang, Qin;Xu, Sai;Liang, Xin;Fan, Changxiang;Lu, Huazhong;Xu, Sai;Lu, Huazhong

作者机构：

关键词： Image fusion; X-ray imaging; Pomelo; Volume; Flesh content

期刊名称：POSTHARVEST BIOLOGY AND TECHNOLOGY （ 影响因子：7.0； 五年影响因子：6.9 ）

ISSN： 0925-5214

年卷期： 2024 年 213 卷

页码：

收录情况： SCI

摘要： Volume and flesh content are crucial factors in assessing the quality of pomelo fruits. However, the lack of accurate and efficient methods for measuring volume and flesh content hampers their application in fruit grading. To address the issue, this study proposes a non-destructive detection method for pomelo fruit volume and edible percent based on image fusion. This method combines the external appearance images and internal X-ray image to construct a three-dimensional model of the pomelo fruit using various slice contour fitting methods. This model enables the acquisition of pomelo volume and flesh thickness information. Subsequently, the flesh content is determined using the grayscale and thickness fitting method (GTFM), which combines the flesh model thickness with the grayscale information obtained from the X-ray image. Extensive experiments were conducted to validate the proposed method, demonstrating its effectiveness. The results indicate a high fitting coefficient (R 2 ) of 0.989 and a mean absolute percentage error (MAPE) of 1.87% for volume measurement, with a time consumption of 486.17 ms. The flesh content measurement yielded an R 2 of 0.923, a root mean square error (RMSE) of 2.85%, and a time consumption of 306.71 ms. Compared with existing sorting technology and methods, the volume measurement error is reduced by approximately 1.2%; the flesh content R 2 is increased by approximately 0.49 with a halving of the time consumption. The quality assessment of this study is more comprehensive and more accurate.

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