Combination of HSV and Lacunarity for Feature Extraction on Butterfly Dataset
Kombinasi HSV dan Lacunarity untuk Ekstraksi Fitur pada dataset Kupu-Kupu
Abstract
Ekstraksi fitur pada kupu-kupu menggunakan HSV dan lacunarity. Fungsi dari ekstraksi fitur digunakan untuk membedaakan fitur dataset kupu-kupu. Pada penelitian ini, 84 dataset digunakan dengan 5 macam spesies. Tahap pertama penelitian ini yaitu extraksi fitur menggunakan HSV, fungsi dari ekstraksi HSV digunakan untuk ekstraksi warna pada kupu-kupu, step kedua extraksi fitur menggunakan lacunarity, lacunarity digunakan untuk ekstraksi tekstur pada kupu-kupu. Tahap terakhir yaitu klasifikasi menggunakan MLP, fungsi metode MLP digunakan untuk klasifikasi spesies daru kupu-kupu. Hasil dari metode ini menghasilkan 62,55%.
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[5] C. Madhura and D. Dheeraj, “Feature Extraction for Image Retrieval Using Color Spaces and GLCM,” Int. J. Innov. Technol. Explor. Eng., vol. 3, no. 2, pp. 159–162, 2013.
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Published
2025-01-29
How to Cite
RAHAYU, Putri Nur et al.
Combination of HSV and Lacunarity for Feature Extraction on Butterfly Dataset.
Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer, [S.l.], v. 5, n. 1, p. 1-8, jan. 2025.
ISSN 2776-6195.
Available at: <https://ejournal.uniska-kediri.ac.id/index.php/JTECS/article/view/6677>. Date accessed: 06 feb. 2025.
doi: https://doi.org/10.32503/jtecs.v5i1.6677.
Section
Komputer
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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