Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13163
ชื่อเรื่อง: Automated determination of watermelon ripeness based on image color segmentation and rind texture analysis
ผู้แต่ง: Phothisonothai M.
Tantisatirapong S.
Aurasopon A.
Keywords: Agriculture
Color
Computer control systems
Image processing
Image segmentation
Quality control
Signal processing
Automatic systems
Color segmentation
Edge Detectoin
Experimental conditions
K-means clustering
Laplacian of gaussian filters
Texture analysis
Watermelon Ripeness
Color image processing
วันที่เผยแพร่: 2017
บทคัดย่อ: Watermelons are popularly grown and consumed in most tropical areas of agricultural countries especially in the Asian countries. Quality control is important to standardize the production especially the procedure of automatic system based on computer vision. In this paper, therefore, we objectively investigated the ripeness of watermelon based on color segmentation using k-means clustering and rind texture analysis using Laplacian of Gaussian (LoG) filter. We captured each image of 20 watermelons (Kinnaree variety), which are divided into ten ripe and unripe groups by an experienced farmer. Different experimental conditions were compared to achieve the optimal outcome. The experimental results showed that the proposed features could extract different ripeness levels statistically with p < 0.001. © 2016 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13163
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015093153&doi=10.1109%2fISPACS.2016.7824766&partnerID=40&md5=4ef88ed4ec511d516c62c671e8259dbb
Appears in Collections:Scopus 1983-2021

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