Dataset for Assessing the intrapore volume and surface area of single corn kernel using CT scan imaging and machine vision
Published: 30 October 2024| Version 1 | DOI: 10.17632/zg3zpt6ydf.1
Contributors:
, Description
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.
Files
Steps to reproduce
Will be made available when the paper is published.
Institutions
North Dakota State University Department of Agricultural and Biosystems Engineering
Categories
Machine Vision, Image Analysis of Food, Image Processing in Food Engineering