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首页> 外文会议>Sensing for agriculture and food quality and safety III >Infrared imaging technology for detection of bruising damages of 'Shingo' pear
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Infrared imaging technology for detection of bruising damages of 'Shingo' pear

机译：红外成像技术用于检测“ Shingo”梨的青紫损伤

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摘要

Bruise damage on pears is one of the most crucial internal quality factors that needs to be detected in postharvest quality sorting processes. Development of sensitive detection methods for the defects including fruit bruise is necessary to ensure accurate quality assessment. Infra-red imaging techniques in the 1000 nm to 1700 nm has good potentials for identifying and detecting bruises since bruises result in the rupture of internal cell walls due to defects on agricultural materials. In this study, feasibility of hyperspectral infra-red (1000 - 1700 nm) imaging technique for the detection of bruise damages underneath the pear skin was investigated. Pear bruises, affecting the quality of fruits underneath the skin, are not easily discernable by using conventional imaging technique in the visible wavelength ranges. Simple image combination methods as well as multivariate image analyses were explored to develop optimal image analysis algorithm to detect bruise damages of pear. Results demonstrated good potential of the infra-red imaging techniques for detection of bruises damages on pears.
机译：梨的瘀伤是收获后质量分选过程中需要检测的最关键的内部质量因素之一。为了确保准确的质量评估，必须开发出敏感的检测方法来检测水果挫伤等缺陷。 1000到1700 nm的红外成像技术具有很好的识别和检测瘀伤的潜力，因为瘀伤会由于农业材料上的缺陷而导致内部细胞壁破裂。在这项研究中，研究了使用高光谱红外（1000-1700 nm）成像技术检测梨皮下瘀伤的可行性。通过在可见光波长范围内使用常规成像技术，很难识别出影响皮肤下水果质量的梨伤。探索简单的图像组合方法以及多元图像分析方法，以开发出最佳的图像分析算法来检测梨的跌打损伤。结果表明，红外成像技术具有很好的潜力，可用于检测梨上的跌打损伤。

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