Publication: Surface roughness classification of mangosteen with gray level co-occurrence matrix based texture analysis
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Issued Date
2018
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-85066475685
Rights Holder(s)
มหาวิทยาลัยศรีนครินทรวิโรฒ
Bibliographic Citation
2018 22nd International Computer Science and Engineering Conference, ICSEC 2018.
Suggested Citation
Acharya A., Phothisonothai M., Tantisatirapong S. Surface roughness classification of mangosteen with gray level co-occurrence matrix based texture analysis. 2018 22nd International Computer Science and Engineering Conference, ICSEC 2018.. doi:10.1109/ICSEC.2018.8712705 Retrieved from: https://hdl.handle.net/20.500.14740/3942
Author(s)
Abstract
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.