Performance evaluation of SIFT against common image deformations on iban plaited mat motif images
Decorative plaited mat is one of the many examples of rich plait work often seen on Borneo handicraft products. The plaited mats are decorated with simple and complex motif designs; each has its own special meaning and taboos. The motif designs are used as a reflection of environment and the traditi...
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Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2021-09-01.
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LEADER | 02701 am a22003373u 4500 | ||
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001 | ijeecs25755_15464 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Joseph, Silvia |e author |
100 | 1 | 0 | |e contributor |
700 | 1 | 0 | |a Hipiny, Irwandi |e author |
700 | 1 | 0 | |a Ujir, Hamimah |e author |
700 | 1 | 0 | |a Samson Juan, Sarah Flora |e author |
700 | 1 | 0 | |a Minoi, Jacey-Lynn |e author |
245 | 0 | 0 | |a Performance evaluation of SIFT against common image deformations on iban plaited mat motif images |
260 | |b Institute of Advanced Engineering and Science, |c 2021-09-01. | ||
500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25755 | ||
520 | |a Decorative plaited mat is one of the many examples of rich plait work often seen on Borneo handicraft products. The plaited mats are decorated with simple and complex motif designs; each has its own special meaning and taboos. The motif designs are used as a reflection of environment and the traditional beliefs in the Iban community. In line with efforts from UNESCO's and Sarawak Government's, digitization, and the use of IR4.0 technologies to preserve and promote this cultural heritage is encouraged. Towards this end goal, we present a novel image dataset containing 10 Iban plaited mat motif classes. The plaited mat motifs are made of diagonal and symmetrical shapes, as well as geometric and non-geometric patterns. Classification's accuracy using scale-invariant feature transform (SIFT) features was evaluated against 6 common image deformations: zoom+rotation, viewpoint, image blur, JPEG compression, scale and illumination, across multiple threshold values. Varying degrees of each deformation were applied to a digitally cleaned (and cropped) image of each mat motif class. We used RANSAC to remove outliers from the noisy SIFT matching result. The optimal threshold value is 2.0e-2 with a reported 100.0% matching accuracy for the scale change and zoom+rotation set. | ||
540 | |a Copyright (c) 2021 Institute of Advanced Engineering and Science | ||
540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
546 | |a eng | ||
690 | |||
690 | |a Iban plaited mat motifs; Pattern matching; Scale-invariant feature transform; RANSAC; | ||
655 | 7 | |a info:eu-repo/semantics/article |2 local | |
655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
655 | 7 | |2 local | |
786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 23, No 3: September 2021; 1470-1477 | |
786 | 0 | |n 2502-4760 | |
786 | 0 | |n 2502-4752 | |
786 | 0 | |n 10.11591/ijeecs.v23.i3 | |
787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25755/15464 | |
856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/25755/15464 |z Get fulltext |