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dc.contributor.authorKanthang, Paisan
dc.date.accessioned2014-12-11T06:23:37Z
dc.date.available2014-12-11T06:23:37Z
dc.date.issued2014-12-11
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/1441
dc.descriptionรายงานการวิจัย -- มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2556en_US
dc.description.abstractThis research report is manipulated that summarized the moment of research project in the subject of “The optimal image processing for paddy studies: Variety classification and rice kernel damage inspection”. This project had been take time in 12 mounts. We focused on rice variety classification and rice kernel damage inspection. We also investigated the apparent friction of rice surface. Results showed that area and size were the quantities that have the potential to classify rice variety and also rice kernel damage inspection. In addition, we also found that geometric mean diameter performed characteristic to apparent friction of rice surface in kerosene. These results have the potential to be the basis information in terms of developing instrument for quality control and variety classification of cereal.en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectRiceen_US
dc.subjectRice Kernelen_US
dc.subjectImage processingen_US
dc.subjectVariety classificationen_US
dc.subjectRice kernel damageen_US
dc.subjectInspectionen_US
dc.subjectข้าว -- เมล็ดพันธุ์ -- การทดสอบen_US
dc.subjectข้าวen_US
dc.subjectข้าวเปลือกen_US
dc.titleThe optimal image processing for paddy studies : Variety classification and rice kernel damage inspectionen_US
dc.typeResearch Reporten_US


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