首页> 外文期刊>Computers and Electronics in Agriculture >Enhancing chlorophyll fluorescence imaging under structured illumination with automatic vignetting correction for detection of chilling injury in cucumbers
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Enhancing chlorophyll fluorescence imaging under structured illumination with automatic vignetting correction for detection of chilling injury in cucumbers

机译:用自动渐晕校正,增强结构照射下的叶绿素荧光成像,以检测黄瓜冷损伤

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Chlorophyll fluorescence imaging (CFI) is useful for detecting physiological disorders or defects for green-skinned horticultural products, because defective and normal plant tissues would have different responses to ultraviolet (UV) or short-wavelength visible excitation. This study was intended to evaluate the effectiveness of a new CFI approach by using structured illumination coupled with a proposed automated method for vignetting correction of chlorophyll fluorescence images, for enhanced detection of chilling injury in cucumbers. A CFI system with UV-blue light as an excitation source under structured illumination was assembled. Spectral images over the spectral region of 660-800 nm in 5 nm increments were first acquired from chilling-treated cucumbers under uniform UV-blue illumination to determine appropriate wavebands for implementation of CFI under structured illumination. Further experiment was conducted on a larger group of chilling treated cucumbers to acquire chlorophyll fluorescence images under structured illumination for two wavebands centered at 675 nm and 750 nm. An automatic method for vignetting correction of fluorescence images was proposed by using a modified bi-dimensional empirical mode decomposition (BEMD) technique. Results showed that the chlorophyll fluorescence spectra of cucumbers were characterized by two emission peaks around the regions of 685-690 nm and 740-745 mu respectively. The proposed BEMD method was effective for vignetting correction of fluorescence images, which eliminates the need of using a physical fluorescence target for image correction. Moreover, compared to uniform illumination, structured illumination was found to provide significantly better fluorescence images in terms of the image sharpness and contrast between the normal and chilling-injury tissues, which were inductive to enhancing the detection of chilling injury in cucumbers.
机译:叶绿素荧光成像(CFI)可用于检测绿色皮肤园艺产品的生理障碍或缺陷,因为缺陷和正常的植物组织对紫外(UV)或短波长度可见激发具有不同的反应。本研究旨在通过使用与叶绿素荧光图像的渐晕校正的提出的自动化方法相结合的结构照明来评估新的CFI方法的有效性,用于增强黄瓜寒冷损伤的检测。组装了具有UV-Blue Light作为结构化照明的激励源的CFI系统。首先在均匀的UV蓝色照射下从冷冻处理的黄瓜获得660-800nm的光谱区域,以确定在结构化照明下确定适当的波带。在较大的冷却处理的黄瓜上进行进一步的实验,以获得叶绿素荧光图像在结构化照明下,其两个波带以675nm为中心和750nm。通过使用改进的双维经验模态分解(BEMD)技术提出了一种用于荧光图像的渐晕校正的自动方法。结果表明,黄瓜的叶绿素荧光光谱分别以685-690nm和740-745μm的区域周围的两个发射峰。所提出的BEMD方法对荧光图像的渐晕校正有效,这消除了使用用于图像校正的物理荧光目标的需要。此外,与均匀的照明相比,发现结构化照明在正常和冷却损伤组织之间的图像清晰度和对比度方面提供了明显更好的荧光图像,这是对增强黄瓜中冷却损伤的检测的感应性。

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