Dataset for Assessing the intrapore volume and surface area of single corn kernel using CT scan imaging and machine vision

Corn kernel intrapores were counted and analyzed using CT scan images and machine vision method using a developed ImageJ plugin. The uploaded file is an R program that contained the data and data visualization code that produce the facet-grid output with mean statistics. The data include Section, Location (based on region of interest; ROI), Particles, SumArea, SumPeri, AvgXCen, AvgYCen, AvgFeret, AvgAspectRatio, AvgCircularity, AvgRoundness, and AvgSolidity of the pores, evaluated for the top ROI, bottom ROI, and total ROI, as well as, the whole kernel. The data in the R code can be easily extracted and used in any spreadsheet program.

采用CT扫描图像与机器视觉方法，利用自主研发的ImageJ插件对玉米籽粒内腔进行了计数与分析。所上传的文件包含R程序，其中含有数据及数据可视化代码，可生成包含均值统计信息的分面网格输出。数据包括截面、位置（基于感兴趣区域；ROI）、颗粒、总面积、周长总和、平均X中心、平均Y中心、平均Feret直径、平均形状比、平均圆度、平均圆滑度和平均密度，这些参数针对顶部ROI、底部ROI和整体ROI，以及整个籽粒进行了评估。R代码中的数据可轻松提取并用于任何电子表格程序。