公开2242粒大麦发芽过程的多模态时序数据，支持精准分析发芽进度。
A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process
- 每粒大麦在5天内每24小时采集一次RGB、NIR-HSI图像与NIR光谱
- 提供逐时标注的发芽状态标签，支持多模态时序建模
- 背景为黑滤纸，便于基于Otsu方法快速分割图像
我们提供一个开源数据集，包含2242粒制麦大麦籽粒的RGB图像、近红外高光谱图像（NIR-HSI）及对应的近红外光谱数据，附带分割掩码。所有籽粒在加水前及加水后每隔24小时成像，持续5天。每次成像均标注该籽粒是否已发芽。大麦籽粒置于黑色滤纸背景上成像，便于采用Otsu等方法进行强度阈值分割。该数据集支持基于RGB图像分析、NIR光谱分析、NIR-HSI分析或其组合的发芽时间序列研究。
原文摘要 · Abstract (English)
We provide an open-source dataset of RGB and NIR-HSI (near-infrared hyperspectral imaging) images with associated segmentation masks and NIR spectra of 2242 individual malting barley kernels. We imaged every kernel pre-exposure to moisture and every 24 hours after exposure to moisture for five consecutive days. Every barley kernel was labeled as germinated or not germinated during each image acquisition. The barley kernels were imaged with black filter paper as the background, facilitating straight-forward intensity threshold-based segmentation, e.g., by Otsu's method. This dataset facilitates time series analysis of germination time for barley kernels using either RGB image analysis, NIR spectral analysis, NIR-HSI analysis, or a combination hereof.
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