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Perbandingan Algoritma Multi-Thresholding, Konversi Biner, Low-Pass Filtering pada Segmentasi Rambut Kaki
Abstract
Rambut berada tersebar pada bagian tubuh manusia dan memiliki fungsi yang berbeda, untuk mementingkan estetika tidak sedikit orang yang melakukan pencukuran rambut pada beberapa bagian tubuh, salah satunya bagian kaki. Terdapat banyak metode pencukuran yang tersedia saat ini, mulai dari cara alami, terapi, modern sampai penggunaan laser, namun pada penelitian ini berfokus pada metode laser. Pencukuran rambut dengan metode laser kelebihannya dapat menghilangkan rambut dalam jangka waktu yang cukup lama dengan pengaplikasian yang cukup mudah, dan tidak memerlukan waktu yang lama dibandingkan dengan teknik pengaplikasian tradisional. Dengan permasalahan itu dibutuhkan sistem yang bisa membedakan wilayah rambut dan kulit, sehingga tujuan untuk hair removal lebih fokus pada bagian rambut dan tidak mencederai bagian atau lapisan kulit. Pemisahan dua bagian tersebut dilakukan dengan cara segmentasi helai rambut dan menghilangkan bagian kulit. Empat metode dibandingkan dalam penelitian ini yaitu multi-thresholding, Konversi biner, low-filter dan high- filter, hasil dari perbandingan empat metode diketahui jika metode Multi-Thresholding diyakini dapat melakukan segmentasi rambut dengan baik, karena pola rambut dapat terlihat jelas dan tidak banyak noise yang terlihat.
Kata Kunci: konversi biner, low-pass filtering, multi-thresholding, high-pass filtering, segmentasi
Abstract
Hair is scattered in various parts of the human body and has different functions. To emphasize the aesthetics, many people shave their hair on several parts of the body, one of which is the legs. Today, there are many shaving methods, ranging from natural, therapeutic, modern to laser use, but this research focuses on laser methods. Laser hair removal has the advantage that it can remove hair in a fairly long period of time with a fairly easy application and does not require a long time compared to traditional application techniques. With this problem, a system that can differentiate between hair and skin areas is needed so that hair removal aims to focus more on the hair and not injure any part or layer of the skin. The separation of the two parts is done by segmenting the hair strands and removing part of the skin. Four methods were compared in this study, namely multi-thresholding, binary conversion, low-filter, and high-filter. Comparing the four methods shows that the multi-thresholding method is believed to segment hair well because the hair pattern can be seen clearly, and not much noise is visible.
Keywords: binary conversion, low-pass filtering, multi-thresholdinghigh-pass filtering, segmentation
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DOI: https://doi.org/10.32520/stmsi.v10i1.1117
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