Model Warna HSCbCrAB untuk Deteksi Kulit Menggunakan PCA-kNN

  • Universitas Brawijaya
  • Universitas Brawijaya
https://doi.org/10.25139/inform.v2i2.312
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Abstract

Deteksi kulit merupakan suatu proses untuk menentukan suatu wilayah apakah termasuk kulit atau bukan kulit. Beberapa kamera digital menghasilkan citra RGB. Dalam berbagai kasus deteksi kulit dilakukan transformasi dari RGB ke ruang warna lainnya, seperti HSV, YCbCr, dan CIELAB. Beberapa ruang warna memiliki dua komponen yang terpisah, yaitu komponen luminan dan krominan, sedangkan warna kulit manusia lebih sering berada pada komponen krominan. Dalam paper ini, kami melakukan penelitian deteksi kulit menggunakan komponen krominan dari ruang warna HSV, YCbCr, dan CIELAB, dengan nama HSCbCrAB. Kami menggunakan PCA untuk mengurangi dimensi dank NN sebagai klasifier. Hasil dari penelitian menunjukkan performa yang bagus pada ruang warna HSCbCrAB untuk deteksi kulit

Author Biographies

, Universitas Brawijaya
Jurusan Sistem Informasi, Fakultas Ilmu Komputer
, Universitas Brawijaya
Jurusan Sistem Informasi, Fakultas Ilmu Komputer

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Published
2017-08-01
How to Cite
, & . (2017). Model Warna HSCbCrAB untuk Deteksi Kulit Menggunakan PCA-kNN. Inform : Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 2(2). https://doi.org/10.25139/inform.v2i2.312
Issue
Vol. 2 No. 2 (2017)
Section
Articles

Copyright (c) 2017 Tri Afirianto, Faizatul Amalia

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