Abstract

To effectively extract wormhole areas in kernels of maize, the uneven intensity distribution that was produced by the lighting system or by part of the vision system in the image must be transformed. A methodology was developed to convert non-uniform intensity distribution on objects into a uniform intensity distribution. A basically plane image with the wormhole area having a lower gray level than this plane was obtained by using proposed algorithms. Then, the wormhole areas can be easily extracted by a global threshold value. The experimental results with a 99.0% classification rate based on 100 kernel images showed that the proposed algorithm was simple and effective.

Keywords:

Lighting correction, machine vision, maize, quality control, wormhole area,

References

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.