Model Warna HSCbCrAB untuk Deteksi Kulit Menggunakan PCA-kNN

Authors

DOI:

https://doi.org/10.25139/inform.v2i2.312

Keywords:

deteksi kulit, pca-knn, hsv, ycbcr, cielab

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

References

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Published

2017-08-01

How to Cite

Model Warna HSCbCrAB untuk Deteksi Kulit Menggunakan PCA-kNN. (2017). Inform : Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 2(2). https://doi.org/10.25139/inform.v2i2.312

Issue

Vol. 2 No. 2 (2017)

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Articles

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