Research of Image processing in Instant Noodle Packets Auto-Inspection System

DOI

10.2991/emeit.2012.334How to use a DOI?

Keywords

Image processing, HIS color model, histogram statistics, threshold, recognition

Abstract

It is good idea that machine vision is introduced to inspect the seasoning packets of instant noodles on-line. The image processing algorithm was a key when the vision system was built up to capture the image of dough with seasoning packets. Image of dough contour was analyzed to find if the dough has a perfect shape. Before pocketing instant noodle, several packets were checked if they lie on the dough by method of histogram statistics of brightness in HIS color model and threshold. Vegetable and oil packets were inspected by the histogram statistics of Hue while the silver salt packet was tested by the histogram statistics of luminance. Testing on actual production line, a system using the image algorithm has the precise identification rate of 100% and false detection rate of 99%, and the detection speed of better than 20 per minute.

Copyright

© 2012, 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  - Kai Peng
AU  - Tie-Cheng Wang
AU  - Ze-Qing Yang
PY  - 2012/09
DA  - 2012/09
TI  - Research of Image processing in Instant Noodle Packets Auto-Inspection System
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1509
EP  - 1512
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.334
DO  - 10.2991/emeit.2012.334
ID  - Peng2012/09
ER  -