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首页> 外文会议>Conference on sensing for agriculture and food quality and safety >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'梨的瘀伤损坏

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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：梨造成瘀伤是在采后质量分拣过程中需要检测到最重要的内部质量因素之一。为确保准确的质量评估，必须开发敏感性检测方法，包括果实瘀伤，以确保准确的质量评估。 1000nm至1700nm中的红外线成像技术具有良好的潜力，用于识别和检测瘀伤，因为瘀伤导致由于农用材料上的缺陷导致内部细胞壁的破裂。在这项研究中，研究了高光谱红外线（1000-1700nm）成像技术的可行性，用于检测梨皮下下部的瘀伤损坏。通过在可见波长范围内使用传统的成像技术，不容易辨别梨瘀伤，不容易辨别出在皮肤下方。探讨了简单的图像组合方法以及多变量图像分析，以开发最佳图像分析算法，以检测梨的瘀伤损坏。结果表明，红外成像技术的良好潜力，用于检测梨子上的瘀伤损坏。

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