Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12944
ชื่อเรื่อง: Surface roughness classification of mangosteen with gray level co-occurrence matrix based texture analysis
ผู้แต่ง: Acharya A.
Phothisonothai M.
Tantisatirapong S.
Keywords: Fruits
Image analysis
Image processing
Image texture
Surface measurement
Textures
Export potential
GLCM
Gray level co occurrence matrix(GLCM)
Gray level co-occurrence matrix
Mangosteen
Nondestructive methods
Textural feature
Texture analysis
Surface roughness
วันที่เผยแพร่: 2018
บทคัดย่อ: Mangosteen is one of the fruits that has an enormous export potential in Thailand. It is well-known as the queen of fruit. Mangosteen export generates large revenue; however, fruit is not defect free it contains many undesirable external as well as internal condition which results in the shipment rejection and decrease the reliability of the export. Therefore, this research investigates an approach for texture image analysis based surface roughness detection and classification into 3 classes: i.e., Glossy Surface, Mid Rough Surface and Extreme Rough Surface. In this study, for the first time, we propose the textural features extracted using Gray-Level Co-occurrence Matrix (GLCM) for surface roughness classification of mangosteen. © 2018 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/12944
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066475685&doi=10.1109%2fICSEC.2018.8712705&partnerID=40&md5=644365631a5ba41bd5a96f7ab768b43d
Appears in Collections:Scopus 1983-2021

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