基于空间频域成像的果蔬皮下隐性损伤可视化检测
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(浙江农林大学光机电工程学院 杭州 311300)

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国家自然科学基金项目(32371987,32001414)


Visual Detection of Subsurface Bruising in Fruits and Vegetables Based on Spatial-Frequency Domain Imaging
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(College of Optical, Mechanical and Electrical Engineering, Zhejiang A & F University, Hangzhou 311300)

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    摘要:

    果蔬皮下隐性损伤症状轻微,特征难以识别,传统的均匀光成像难以实现无损准确检测。本文采用空间频域成像技术,基于深度辨析和信号增强特点,对胡萝卜、红富士苹果、黄瓜、金冠苹果、水果黄瓜、蛇果、芒果、黄桃、玫瑰李、水蜜桃等10种果蔬的新鲜皮下隐性损伤(30 min内)进行检测。通过图像获取、图像解调、白板校正和逆向反演等步骤,得到果蔬组织的光学特性参数。结果表明,健康果蔬和损伤果蔬的光学特性参数存在差异,主要表现在果蔬损伤后约化散射系数值大大减小,因此可实现其皮下隐性损伤的可视化无损检测。本文提出了一种果蔬皮下隐性损伤无损检测的新方法,具有广泛的应用前景。

    Abstract:

    It is challenging to identify the features of subsurface fresh bruises of fruits and vegetables by traditional uniform imaging techniques due to the mild symptoms. Owing to the capability of depth-varying and signal-enhanced characterization, spatial-frequency domain imaging was used to detect the fresh bruising (within 30 minutes) of 10 kinds of fruits and vegetables (carrot, Fuji apple, cucumber, golden delicious apple, fruit cucumber, delicious apple, mango, yellow peach, rose plum, and honey peach). Through the procedures of image acquisition, image demodulation, whiteboard correction and inverse estimation, optical properties of the fruits and vegetables were obtained. The results indicated that there were great differences of optical properties between non-bruised and bruised samples, with decreased values of reduced scattering coefficients for the bruised ones, which visually realized the non-destructive detection of early bruising. The novel method proposed in this paper is promising for non-destructive detection of early bruising of fruits and vegetables.

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黄璇,周童童,孙志忠,杨自栋,孙通,胡栋.基于空间频域成像的果蔬皮下隐性损伤可视化检测[J].中国食品学报,2023,23(12):229-237

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  • 收稿日期:2022-12-22
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  • 在线发布日期: 2024-01-23
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