Development of Affine Transformation Method in the Reconstruction of Songket Motif

Agung Ramadhanu, Jufriadif Na’am, Gunadi Widi Nurcahyo, - Yuhandri


Songket is one of the clothes with a high artistic value besides Batik originating from Indonesia. Songket is widely used at weddings and other traditional formal events. Songket is the result of a traditional craft consisting of the main ingredients of cloth made of cotton and silk threads by inserting the feed (basic material) transversely on the Lunsing (yeast cloth). The quality of Songket art is found in the motifs on the Songket. This research has a conceptual outline in terms of improving the quality of Songket cloth and making it easier for craftsmen and artists to spare their art for the reconstruction process of the Silungkang Songket motif. This research aims to get a new Songket motif with a more modern and aesthetic motif but still has its original characteristics and identity. Based on these objectives, the researchers focused and motivated to develop the motif of one of the types of Songket in Indonesia, namely Silungkang Songket, in the form of a more modernized motif. This research develops a digital image transformation method named Affine Segmentation Point (ASP) to produce modernized Songket motifs. The basis of the developed ASP method is the Affine transformation. Songket image input was used as data and created a new motif in this study: a Songket image with the Rangkiang Lumbung Padi Besar motif. The results of this study can create excellent Songket motifs and modernization. The new motifs produced have been tested by Songket experts, Songket observers, Songket craftsmen, and Songket sellers with an interest rate of 97.5%. The method developed is very precise and can be used to develop other high-value artistic motifs on traditional cloth.


Development; affine segmentation point; reconstruction; Songket motif, Silungkang Songket.

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N. D. Putri dan I. Ismaniar, “Description of Tenun Songket Lansek Manih Training Strategies in IRA Songket, Sijunjung,” Spektrum J. Pendidik. Luar Sekol., vol. 2, no. 1, hal. 15, 2019, doi: 10.24036/spektrumpls.v2i1.101582.

M. F. Al-mousily, G. H. Baker, L. Jackson, B. Ferguson, dan N. Cain, “In the pediatric cardiology clinic, the usage of a typical non-looping event monitor vs a loan-based program using a smartphone ECG gadget,” Cardiovasc. Digit. Heal. J., vol. 2, no. 1, hal. 71–75, 2021, doi: 10.1016/j.cvdhj.2020.11.008.

W. Marshall, S. Gee, dan S. Rajpal, “In pregnant women with increased right ventricular systolic pressure, traditional cardiovascular risk factors are linked to serious cardiac events,” Int. J. Cardiol. Congenit. Hear. Dis., vol. 5, hal. 100254, 2021, doi: 10.1016/j.ijcchd.2021.100254.

KEMENDIKBUD RI, “Sawahlunto City Mission Introduce Songket Silungkang to the World,”, 2017.

I. Soares, S. França de Sá, dan J. L. Ferreira, “The use of in situ diffuse reflection infrared Fourier transform (DRIFT) spectroscopy to characterize historical plastic artifacts is a first step,” Spectrochim. Acta - Part A Mol. Biomol. Spectrosc., vol. 240, hal. 118548, 2020, doi: 10.1016/j.saa.2020.118548.

X. Kuang, X. Gao, L. Wang, G. Zhao, L. Ke, dan Q. Zhang, “A query efficient attack on black-box object detectors based on the discrete cosine transform,” Inf. Sci. (Ny)., vol. 546, hal. 596–607, 2021, doi: 10.1016/j.ins.2020.05.089.

W. Shang, S. Liu, J. Wang, dan R. Shao, “Using the fringe projection technique and the wavelet transform, we can analyze and reduce the error generated by the tested object,” Optik (Stuttg)., vol. 221, no. July, hal. 165372, 2020, doi: 10.1016/j.ijleo.2020.165372.

A. Bazhanov, R. Vashchenko, dan V. Rubanov, “Fuzzy behavior charts were used to develop a control system for a sophisticated technological device,” Heliyon, vol. 6, no. 2, hal. e03393, 2020, doi: 10.1016/j.heliyon.2020.e03393.

K. Yang, Y. Guo, P. Tang, H. Zhang, dan H. Li, “An RGB-D camera is used to register objects for better assembly guidance on difficult goods,” Virtual Real. Intell. Hardw., vol. 2, no. 6, hal. 501–517, 2020, doi: 10.1016/j.vrih.2020.01.004.

J. Ortiz-Sanz, M. Gil-Docampo, T. Rego-Sanmartín, M. Arza-García, dan G. Tucci, “A PBeL for non-experts to learn mobile photogrammetry and accurate 3-D recording of small/uncomplex things,” Meas. J. Int. Meas. Confed., vol. 178, no. March, hal. 109338, 2021, doi: 10.1016/j.measurement.2021.109338.

Q. Shu, X. He, C. Wang, Y. Yang, dan Z. Cui, “Multidirectional affine transformation allows for quick point cloud registration,” Optik (Stuttg)., vol. 229, no. October 2020, hal. 165884, 2021, doi: 10.1016/j.ijleo.2020.165884.

M. Huang dan Z. Xu, “Retrieval of phase from affine transformation norms,” Adv. Appl. Math., vol. 130, hal. 102243, 2021, doi: 10.1016/j.aam.2021.102243.

M. Ramalingam, N. A. Mat Isa, dan R. Puviarasi, “Affine transformation is used in video steganography to ensure data concealment.,” Procedia Comput. Sci., vol. 171, no. 2019, hal. 1147–1156, 2020, doi: 10.1016/j.procs.2020.04.123.

S. C. Sarode, G. S. Sarode, N. Sengupta, U. Ghone, dan S. Patil, “Oral submucous fibrosis with conspicuous and open dilated vascular spaces: A hallmark of malignant transformation,” J. Oral Biol. Craniofacial Res., vol. 11, no. 3, hal. 365–367, 2021, doi: 10.1016/j.jobcr.2021.03.007.

Q. M. Nguyen dan T. T. Huynh, “Frequency shifting for solitons using Fourier domain operations and applications,” Appl. Math. Model., vol. 72, hal. 306–323, 2019, doi: 10.1016/j.apm.2019.03.019.

B. Tronvoll, A. Sklyar, D. Sörhammar, dan C. Kowalkowski, “Digital servitization creates transformational developments,” Ind. Mark. Manag., vol. 89, no. January, hal. 293–305, 2020, doi: 10.1016/j.indmarman.2020.02.005.

A. Tubi, “Droughts that recur or socioeconomic shifts? Investigating the factors that induce large-scale transformations in a transformed country,” Glob. Environ. Chang., vol. 65, no. September 2019, hal. 102157, 2020, doi: 10.1016/j.gloenvcha.2020.102157.

Q. Chen dkk., “Nitrogen addition causes changes in the dynamic mechanisms of soil organic matter transformation: From a carbon/nitrogen-driven process in the soil to a microbe-driven mechanism in the soil,” Soil Biol. Biochem., vol. 160, no. July, 2021, doi: 10.1016/j.soilbio.2021.108355.

D. Villa, S. Gaggero, A. Coppede, dan G. Vernengo, “Reduced Order Model-based geometric transformations produce parametric hull shape modifications,” Ocean Eng., vol. 216, no. September, hal. 107826, 2020, doi: 10.1016/j.oceaneng.2020.107826.

X. Yao dan A. Manouchehri, “In a dynamic geometry environment, middle school pupils' generalizations about geometric transformation properties,” J. Math. Behav., vol. 55, no. March, hal. 1–19, 2019, doi: 10.1016/j.jmathb.2019.04.002.

W. Gómez-Flores dan J. Hernández-López, “Evaluation of morphological characteristics' invariance and discriminant power under geometric modifications for breast tumor classification,” Comput. Methods Programs Biomed., vol. 185, 2020, doi: 10.1016/j.cmpb.2019.105173.

W. Zhao, C. Persello, dan A. Stein, “With an upgraded end-to-end learning system, you can go from aerial photos to polygons,” ISPRS J. Photogramm. Remote Sens., vol. 175, no. September 2020, hal. 119–131, 2021, doi: 10.1016/j.isprsjprs.2021.02.014.

R. d’Andrimont, A. Verhegghen, G. Lemoine, P. Kempeneers, M. Meroni, dan M. van der Velde, “A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ data, from parcel to continental size,” Remote Sens. Environ., vol. 266, no. May, 2021, doi: 10.1016/j.rse.2021.112708.

G. Gao, S. Tong, Z. Xia, B. Wu, L. Xu, dan Z. Zhao, “For medical photos, reversible data concealing with automatic contrast augmentation is available,” Signal Processing, vol. 178, hal. 107817, 2021, doi: 10.1016/j.sigpro.2020.107817.

C. F. Dietrich dkk., “Contrast-Enhanced Ultrasound (CEUS) in the Liver: Guidelines and Good Clinical Practice Recommendations–Update 2020 WFUMB in Collaboration with EFSUMB, AFSUMB, AIUM, and FLAUS: WFUMB in Collaboration with EFSUMB, AFSUMB, AIUM, and FLAUS: WFUMB in Collaboration with EFSUMB, AFSUMB, AIUM, and FLAUS,” Ultrasound Med. Biol., vol. 46, no. 10, hal. 2579–2604, 2020, doi: 10.1016/j.ultrasmedbio.2020.04.030.

X. LEI, H. WANG, J. SHEN, Z. CHEN, dan W. ZHANG, “Color correction and contrast stretching are used to create a revolutionary intelligent underwater image enhancement approach,” Microprocess. Microsyst., hal. 104040, 2021, doi: 10.1016/j.micpro.2021.104040.

R. Ravindraiah dan M. V. Srinu, “Through contrast stretch approaches, the quality of leukemia images can be improved for analysis,” Procedia Eng., vol. 30, no. 2011, hal. 475–481, 2012, doi: 10.1016/j.proeng.2012.01.887.

D. B. Tay, “Recursive graph median filters are used to de-noise data from sensor networks,” Signal Processing, vol. 189, hal. 108302, 2021, doi: 10.1016/j.sigpro.2021.108302.

Y. Kondo, I. Yoshida, Y. Yamaguchi, H. Machida, M. Numada, dan H. Koshimizu, “Proposal for evaluating roughness with a median filter and exploration of the best filter width,” Meas. Sensors, vol. 18, hal. 100099, 2021, doi: 10.1016/j.measen.2021.100099.

O. Appiah, M. Asante, dan J. B. Hayfron-Acquah, “For real-time computer vision applications, an improved approximated median filter technique has been developed,” J. King Saud Univ. - Comput. Inf. Sci., no. xxxx, 2020, doi: 10.1016/j.jksuci.2020.04.005.



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