Research of Image processing in Instant Noodle Packets Auto-Inspection System
- 10.2991/emeit.2012.334How to use a DOI?
- Image processing, HIS color model, histogram statistics, threshold, recognition
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.
- © 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/).
Cite this article
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 -