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:
, Clairmont Clementson

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

Licence