PATTERNS RECOGNITION (MAUMERE SARONG) USING EDGE DETECTION WITH PREWITT, SOBEL, LAPLACIAN OF GAUSSIAN (LOG), AND CANNY METHODS

Gerfasius Take Piran; Hilarius Alfan; Maria Yunita

doi:10.52436/1.jutif.2024.5.4.1972

Gerfasius Take Piran Faculty of Engineering, Informatics Engineering Study Program, Universitas Nusa Nipa, Indonesia
Hilarius Alfan Faculty of Engineering, Informatics Engineering Study Program, Universitas Nusa Nipa, Indonesia
Maria Yunita Faculty of Engineering, Informatics Engineering Study Program, Universitas Nusa Nipa, Indonesia

DOI: https://doi.org/10.52436/1.jutif.2024.5.4.1972

Keywords: Edge Detection, Ikat Weaving, Imagery, Lipa Patterns

Abstract

Maumere Ikat Weaving is a cloth made from a weaving process that requires a lot of energy and time. Maumere Ikat weaving is not only limited to artistic creations; its production also considers symbols of social, religious, cultural, and economic status. The location of an image is easy if the image is clear and sharp. Still, the exact location of the edges makes it difficult to determine if the image contains interference such as noise. Objective: Recognize a Lipa pattern (Maumere Sarong) using Prewitt, Sobel, Laplacian of Gaussian (LoG), and Canny edge detection. Methods: Prewitt, Sobel, Laplacian of Gaussian (LoG), and Canny edge detection. Results: The Lipa (Maumere Sarong) pattern recognition application using Canny edge detection can increase accuracy in recognizing a Lipa (Maumere Sarong) pattern so that it can provide knowledge for tourists and the wider community to recognize and obtain information on the Lipa (Maumere Sarong) more easily.

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References

F. Sanjaya, “Pemaknaan Motif Tokek Pada Kain Tenun Utan Welak Maumere,” J. Oratio Directa, vol. 2, no. 2, pp. 251–265, 2020.

Geosiar, “Mengenal Tenun Ikat Maumere,” www.geosiar.com, 2019. https://geosiar.com/2019/12/28/mengenaltenun-ikat/ (accessed Nov. 25, 2022).

Olivio D. J. Gusmao and Y. R. Kaesmetan, “Klasifikasi Hasil Ekstrasi Tenun Ikat Sumba Dengan Metode Fuzzy K- Nearest Neighbor,” Pros. SEMMAU 2020, vol. 6, pp. 1103–1107, 2020, [Online]. Available: http://www.lp3mstikomuyelindo.ac.id.

I. D. Reja and A. J. Santoso, “Pengenalan Motif Sarung (Utan Maumere) Menggunakan Deteksi Tepi,” SEMANTIK, pp. 161–168, 2013.

M. A. Hasan and D. Y. Liliana, “Pengenalan Motif Songket Palembang Menggunakan Deteksi Tepi Canny, PCA dan KNN,” Pengenalan Motif Songket Palembang Menggunakan Deteksi Tepi Canny, vol. 6, no. 1, pp. 1–7, 2020.

S. Sukatmi, “Perbandingan Deteksi Tepi Citra Digital dengan Menggunakan Metode Prewitt, Sobel dan Canny,” KOPERTIP J. Ilm. Manaj. Inform. dan Komput., vol. 1, no.

, pp. 1–4, 2017, doi: 10.32485/kopertip. v1i1.3.

B. Karthicsonia and M. Vanitha, “Edge based segmentation in medical images,” Int. J. Eng. Adv. Technol., vol. 9, no. 1, pp. 449–451, 2019, doi: 10.35940/ijeat. A9484.109119.

D. V. Parfenov, D. A. Petrusevich, and E. V. Sherstnev, “Edge detection in non-linear scalable space,” IOP Conf. Ser. Mater. Sci. Eng., vol. 862, no. 4, pp. 2–9, 2020, doi: 10.1088/1757-899X/862/4/042034.

R. Ravikumar and V. Arulmozhi, “Applications for Green Technology Practices in Analyzing the Edge Detection Techniques on Digital Image Processing by using MATLAB,” IOP Conf. Ser. Earth Environ. Sci., vol. 1057, no. 1, p. 012009, 2022, doi: 10.1088/1755-1315/1057/1/012009.

S. Widiyanto, D. Sundani, Y. Karyanti, andD. T. Wardani, “Edge Detection Based on Quantum Canny Enhancement for Medical Imaging,” IOP Conf. Ser. Mater. Sci. Eng., vol. 536, no. 1, 2019, doi: 10.1088/1757899X/536/1/012118.

D. H. Xia et al., “Review-material degradation assessed by digital image processing: Fundamentals, progresses, and challenges,” J. Mater. Sci. Technol., vol. 53, pp. 146–162, 2020, doi: 10.1016/j.jmst.2020.04.033.

F. Xu, “Accurate measurement of structural vibration based on digital image processing technology,” Concurr. Comput. Pract. Exp., vol. 31, no. 10, pp. 1–10, 2019, doi: 10.1002/cpe.4767.

Farida and M. Z. A. Amruloh, “Analisis Komparasi Metode Edge Detection Robinson Dan Kirsch Pada Deteksi Batik Parang Rusak Comparative Analysis Of Robinson And Kirsch Edge Detection Methods On Batik Parang Rusak,” J. Ilm. NERO, vol. 7, no. 1, pp. 9–20, 2022.

M. A. Hashmani, M. Umair, S. S. Hussain Rizvi, and A. Rehman Gilal, “A Survey on Edge Detection based recent Marine Horizon Line Detection Methods and their Applications,” 2020 3rd Int. Conf. Comput. Math. Eng. Technol. Idea to Innov. Build. Knowl. Econ. iCoMET 2020, 2020, doi: 10.1109/iCoMET48670.2020.9073895

A. Syarif, M. Juandhika Rizky, R. Andrian, and F. R. Lumbanraja, “Identifikasi Kain Tapis Lampung Menggunakan Ekstraksi Fitur Edge Detection (Canny) Dan Klasifikasi Probability Neural Network (PNN),” vol. 2, no. 13, pp. 115–125, 2021.

R. Ripai and Imelda, “Pengenalan Motif Batik Pandeglang Menggunakan Deteksi Tepi Canny dan Metode K-NN Berbasis Android,” J. Teknol. Inf., vol. 16, no. 2, pp. 83–93, 2021.

Y. Meng, Z. Zhang, H. Yin, and T. Ma, “Automatic detection of particle size distribution by image analysis based on local adaptive canny edge detection and modified circular Hough transform,” Micron, vol. 106, no. August 2017, pp. 34–41, 2018, doi: 10.1016/j.micron.2017.12.002.

S. Kumar, A. K. Upadhyay, P. Dubey, and S. Varshney, “Comparative analysis for edge detection techniques,” Proc. - IEEE 2021 Int. Conf. Comput. Commun. Intell. Syst. ICCCIS

, pp. 675–681, 2021, doi: 10.1109/ICCCIS51004.2021.9397225.

S. Djemame and S. Fichouche, “A Novel Edge Detection Algorithm Based on Outer Totalistic Cellular Automata,” Rev. d’Intelligence Artif., vol. 36, no. 1, pp. 19–30, 2022, doi: 10.18280/ria.360103.

S. Jatmika, T. Aprilianto, and M. Idris, “Ekstraksi Fitur Untuk Mengidentifikasi Marga Tanaman Menggunakan Algoritma Backpropagation,” POSITIF J. Sist. dan Teknol. Inf., vol. 6, no. 1, p. 56, 2020, doi: 10.31961/positif.v6i1.907.

T. Lu, B. Zhang, Y. Hu, and J. Chen, “Computed Tomography Imaging Based on Edge Detection Algorithm in Diagnosis and Rehabilitation Nursing of Stroke Patients with Motor Dysfunction,” Sci. Program., vol. 2021, 2021, doi: 10.1155/2021/5499351.

A. Aghaei, “A cellular Automata approach for noisy images edge detection under null boundary conditions,” Proc. 2nd Int. Conf. Comput. Methodol. Commun. ICCMC 2018, no. Iccmc, pp. 771–777, 2018, doi: 10.1109/ICCMC.2018.8487526.

J. W. Yodha and A. W. Kurniawan, “Perbandingan Penggunaan Deteksi Tepi Dengan Metode Laplace, Sobel Dan Prewit Dan Canny Pada Hasil Citra Digital,” vol. 13, no. 3, pp. 189–197, 2014.

K. Kustanto, “Computing Grayscale of Face Detection Menggunakan Metode Sobel Dan Laplacian of Gaussian,” Antivirus J. Ilm. Tek. Inform., vol. 11, no. 1, pp. 26–34, 2017, doi: 10.35457/antivirus.v11i1.196.

A. Singh, M. Singh, and B. Singh, “Face detection and eyes extraction using sobel edge detection and morphological operations,” Conf. Adv. Signal Process. CASP 2016, pp. 295–300, 2016, doi: 10.1109/CASP.2016.7746183.

A. Septiarini, R. Saputra, A. Tejawati, and M. Wati, “Deteksi Sarung Samarinda Menggunakan Metode Naive Bayes Berbasis Pengolahan Citra,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 5, no. 5, pp. 927–935, Oct. 2021, doi: 10.29207/resti.v5i5.3435.

A. Sabry, R. Hamzah, A. Sofia, and J. Sathar, “Sickle Cell Disease Verification via Sobel Edge Algorithms for Image Processing,” pp. 18–21, 2017.

M. H. N, “Penerapan Metode Log ( Laplacian Of Gaussian ) Dalam Mendeteksi Tepi Citra Pada Penyakit Aterosklerosis,” vol. 8, no. April, pp. 435–438, 2020.

A. Prayoga and C. J. M. Sianturis, “Implementasi Perbandingan Metode Operator Sobel, Laplacian of Gaussian, dan Difference of Gaussian Pada Hasil Citra Digital,” J. Mhs. Fak. Tek. dan Ilmu Komput., vol. 1, no. 1, pp. 805–815, 2020.

P. Fan, R. G. Zhou, W. W. Hu, and N. H. Jing, “Quantum image edge extraction based on Laplacian operator and zero-cross method,” Quantum Inf. Process., vol. 18, no. 1, 2019, doi: 10.1007/s11128-018-2129-x.

F. Flaurensia, T. Rismawan, and R. Hidayati, “Pengenalan Motif Batik Indonesia Menggunakan Deteksi Tepi Canny Dan Template Matching,” J. Coding, Sist. Komput. Untan, vol. 4, no. 2, pp. 130–140, 2016.

M. A. Masril, Yuhandri, and Jufriadif Na’am, “Analisis Perbandingan Perbaikan Kualitas Citra Pada Motif Batik Dengan Konsep Deteksi Tepi Robert, Sobel, Canny Menggunakan Metode Morfologi,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 3, no. 1, pp. 36–41, 2020, doi: 10.29207/resti.v3i1.821.

P. S. O. Bao and P. P. SVD, Seni Tenun Suatu Segi Kebudayaan Orang Flores. Flores: Seminari Tinggi ST.Paulus Leda Leto NitaFlores, 1992.