Ribbed Smoked Sheet Grading System (RSSGS)
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 "R...
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th-mahidol.290002018-09-24T15:59:13Z Ribbed Smoked Sheet Grading System (RSSGS) Chomtip Pornpanomchai Naret Chantharangsikul Mahidol University Computer Science Engineering 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. © 2010 IEEE. 2018-09-24T08:56:58Z 2018-09-24T08:56:58Z 2010-11-05 Conference Paper ICEIE 2010 - 2010 International Conference on Electronics and Information Engineering, Proceedings. Vol.1, (2010) 10.1109/ICEIE.2010.5559907 2-s2.0-78049352427 https://repository.li.mahidol.ac.th/handle/123456789/29000 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78049352427&origin=inward |
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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. © 2010 IEEE. |
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Mahidol University Chomtip Pornpanomchai Naret Chantharangsikul |
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Chomtip Pornpanomchai Naret Chantharangsikul |
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Chomtip Pornpanomchai |
title |
Ribbed Smoked Sheet Grading System (RSSGS) |
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Ribbed Smoked Sheet Grading System (RSSGS) |
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Ribbed Smoked Sheet Grading System (RSSGS) |
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Ribbed Smoked Sheet Grading System (RSSGS) |
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Ribbed Smoked Sheet Grading System (RSSGS) |
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ribbed smoked sheet grading system (rssgs) |
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2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/29000 |
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