Eggshell deformation detection applying computer vision

doi:10.1016/j.compag.2019.01.036

Eggshell deformation detection applying computer vision

2019-03-01

2

PRE

AI

K

Kelsey Alejandra Ramírez-Gutiérrez *

A

Alejandro Medina Santiago

A

Alfonso Martínez-Cruz

I

Ignacio Algredo‐Badillo

H

Hayde Peregrina‐Barreto

DOI：10.1016/j.compag.2019.01.036

原文链接

原文求助

摘要

En 中文

This work describes a method for detecting deformations on curved surfaces, focusing especially on the study of deformations in poultry eggs to identify shell damages caused by thin-shelled eggs, or in coltsfoot. The proposed system is based on the detection of defects by sweeping a pattern of laser structured light and imaging, highlighting the changes in geometry as a result of the laser transitions deformation generated by scanning the surface of egg; then the images are analyzed to obtain equidistant points along the curve and evaluated by generating a cubic spline interpolation that allows the extraction of descriptive metric characteristics to observe the disparity between curves showing deformation by performing a graph interposition, the metric information acquired is used to classify the defective samples developing an artificial neural network, achieving a 97.5% efficiency during evaluation.

Keyword:

Eggshell

Deformation detection

Computer vision

Neural networks

Eggshell deformation detection applying computer vision

摘要

AI总结

期刊

机构