Low-temperature sausage measurement method based on machine vision

DOI

10.2991/eeeis-16.2017.8How to use a DOI?

Keywords

edge detection; distortion correction; automatic measurement.

Abstract

The adaptive contour extraction of low-temperature sausage image is achieved by the predictive edge detection algorithm according to the human eye's visual characteristics, and the fitting compensation skeleton extraction algorithm is used to extract the skeleton information, and the accurate length of the low-temperature sausage is obtained by the distortion correction method. Experiment results show that the methods presented in this paper can achieve automatic measurement of the length of the low-temperature sausage's casing.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming-Xiu Lin
AU  - Feng Pan
PY  - 2016/12
DA  - 2016/12
TI  - Low-temperature sausage measurement method based on machine vision
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 59
EP  - 64
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.8
DO  - 10.2991/eeeis-16.2017.8
ID  - Lin2016/12
ER  -