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Ribbed Smoked Sheet Grading System (RSSGS)

  • Chomtip Pornpanomchai
  • , Naret Chantharangsikul
  • Mahidol University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Currently in the rubber factories employ many experts or scientists to grade the Ribbed Smoked Sheet (RSS). They grade the RSS by using their eyes and experience. The objective of this research is to build a computer system that can help rubber experts to grade the RSS. This system is called "Ribbed Smoked Sheet Grading System (RSSGS)". The system consists of 4 main components, which are 1) Image Acquisition, 2) Image Preprocessing, 3) RSS Grading, and 4) Display of Result. In the image acquisition component, we use a digital camera to take an RSS image in a controlled environment box. In the image preprocessing component, we apply several image processing methods to prepare a suitable RSS image for a grading process. In the RSS grading component, we apply the k-Mean Clustering and the Euclidean Distance method to classify the RSS into five grades, which are RSS1, RSS2, RSS3 RSS4 and RSS5. In the Result Display component, we create a graphic user interface (GUI) for displaying results of the RSS grading.

Original languageEnglish
Title of host publicationICEIE 2010 - 2010 International Conference on Electronics and Information Engineering, Proceedings
PagesV1128-V1132
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Electronics and Information Engineering, ICEIE 2010 - Kyoto, Japan
Duration: 1 Aug 20103 Aug 2010

Publication series

NameICEIE 2010 - 2010 International Conference on Electronics and Information Engineering, Proceedings
Volume1

Conference

Conference2010 International Conference on Electronics and Information Engineering, ICEIE 2010
Country/TerritoryJapan
CityKyoto
Period1/08/103/08/10

Keywords

  • Component
  • Formatting
  • Insert
  • Style
  • Styling

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