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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Main Authors: Joseph, Silvia (Author), Hipiny, Irwandi (Author), Ujir, Hamimah (Author), Samson Juan, Sarah Flora (Author), Minoi, Jacey-Lynn (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2021-09-01.
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LEADER 02701 am a22003373u 4500
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