Pereyra Irujo Gustavo
Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Balcarce, Buenos Aires, Argentina.
PeerJ Comput Sci. 2022 May 10;8:e977. doi: 10.7717/peerj-cs.977. eCollection 2022.
IRimage aims at increasing throughput, accuracy and reproducibility of results obtained from thermal images, especially those produced with affordable, consumer-oriented cameras. IRimage processes thermal images, extracting raw data and calculating temperature values with an open and fully documented algorithm, making this data available for further processing using image analysis software. It also allows the making of reproducible measurements of the temperature of objects in a series of images, and produce visual outputs (images and videos) suitable for scientific reporting. IRimage is implemented in a scripting language of the scientific image analysis software ImageJ, allowing its use through a graphical user interface and also allowing for an easy modification or expansion of its functionality. IRimage's results were consistent with those of standard software for 15 camera models of the most widely used brand. An example use case is also presented, in which IRimage was used to efficiently process hundreds of thermal images to reveal subtle differences in the daily pattern of leaf temperature of plants subjected to different soil water contents. IRimage's functionalities make it better suited for research purposes than many currently available alternatives, and could contribute to making affordable consumer-grade thermal cameras useful for reproducible research.
IRimage旨在提高从热图像获得的结果的通量、准确性和可重复性，特别是那些由价格合理的面向消费者的相机产生的热图像。IRimage处理热图像，使用一种开放且有完整文档记录的算法提取原始数据并计算温度值，使这些数据可用于使用图像分析软件进行进一步处理。它还允许对一系列图像中的物体温度进行可重复测量，并生成适合科学报告的视觉输出（图像和视频）。IRimage是用科学图像分析软件ImageJ的脚本语言实现的，允许通过图形用户界面使用，也便于对其功能进行修改或扩展。对于最广泛使用品牌的15款相机型号，IRimage的结果与标准软件的结果一致。还给出了一个示例用例，其中IRimage被用于高效处理数百张热图像，以揭示不同土壤含水量的植物叶片温度日变化模式中的细微差异。IRimage的功能使其比许多当前可用的替代品更适合研究目的，并且有助于使价格合理的消费级热像仪可用于可重复的研究。
