Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12224
ชื่อเรื่อง: Fractal Dimension Based Color Texture Analysis for Mangosteen Ripeness Grading
ผู้แต่ง: Phothisonothai M.
Tantisatirapong S.
Keywords: Finite difference method
Fruits
Gaussian distribution
Grading
Image segmentation
Image texture
Textures
Color texture analysis
Export potential
Gaussian Mixture Model
Image texture analysis
mangosteen ripeness
Non destructive
Spatio-temporal properties
Texture features
Fractal dimension
วันที่เผยแพร่: 2019
บทคัดย่อ: Mangosteen is one of the fruits that has an enormous export potential in Thailand. However, it contains numerous undesirable external as well as internal conditions which result in the shipment rejection and decrease the reliability of the export. Therefore, in this paper for the first time, we propose the method for mangosteen ripeness grading using the spatiotemporal properties of external rind texture analysis on the basis of fractal dimension (FD) approach for three classes: i.e., Glossy (GS), Medium Rough (MR) and Extreme Rough (ER). In this study, for the first time, the five stages of ripening have been extracted using FD based feature with Gaussian Mixture Model (GMM) classifier. The obtained results showed that the proposed method can perform the better results compared with the classical texture feature, i.e., average accuracy rates of 88.0%, 82.0%, and 90.0% for GS, MR, and ER classes, respectively. © 2019 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/12224
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081086532&doi=10.1109%2fISPACS48206.2019.8986398&partnerID=40&md5=bffce5ddb80247581108ee49bb18f80c
Appears in Collections:Scopus 1983-2021

Files in This Item:
There are no files associated with this item.


Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.