Goodwin Paul H, Hsiang Tom
Department of Environmental Biology, University of Guelph, Guelph, ON, Canada.
Methods Mol Biol. 2010;638:125-35. doi: 10.1007/978-1-60761-611-5_9.
Digital image analysis has been used to distinguish and quantify leaf color changes arising from a variety of factors. Its use to assess the percentage of leaf area with color differences caused by plant disease symptoms, such as necrosis, chlorosis, or sporulation, can provide a rigorous and quantitative means of assessing disease severity. A method is described for measuring symptoms of different fungal foliar infections that involves capturing the image with a standard flatbed scanner or digital camera followed by quantifying the area, where the color has been affected because of fungal infection. The method uses the freely available program, Scion Image for Windows or MAC, which is derived from the public domain software, NIH Image. The method has thus far been used to quantify the percentage of tissue with necrosis, chlorosis, or sporulation on leaves of variety of plants with several different diseases (anthracnose, apple scab, powdery mildew or rust).
数字图像分析已被用于区分和量化由多种因素引起的叶片颜色变化。利用它来评估因植物病害症状(如坏死、黄化或产孢)导致颜色差异的叶面积百分比,可以提供一种严谨且定量的病害严重程度评估方法。本文描述了一种测量不同真菌叶部感染症状的方法,该方法包括用标准平板扫描仪或数码相机拍摄图像,然后对因真菌感染而颜色受到影响的区域进行量化。该方法使用免费的程序Scion Image for Windows或MAC,它源自公共领域软件NIH Image。迄今为止,该方法已被用于量化多种患有不同病害(炭疽病、苹果黑星病、白粉病或锈病)的植物叶片上出现坏死、黄化或产孢的组织百分比。