Jurnal SINTA 2
Pencarian Ruang Warna Kulit Manusia Berdasarkan Nilai Karakteristik (λ) Matrik Window Citra
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 1 No. 1 (2014) · pp. 29–33
- ISSN
- 2528-6579, 2355-7699
- Published
- 2014-07-12
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- en
Abstract
Abstrak Perkembangan transaksi dan distribusi data yang sangat besar, terutama saat teknologi informasi dan komunikasi melalui web bisa dijangkau oleh siapa saja menggunakan perangkat yang semakin beragam, membuat pengguna memerlukan aplikasi yang serba mudah untuk digunakan. Diantaranya adalah identifikasi obyek yang berada dalam data multimedia berupa teks, gambar maupun suara. Deteksi warna, terutama deteksi warna kulit manusia adalah tahap awal identifikasi keberadaan manusia pada citra 2 dimensi. Terdapat sejumlah metode untuk menentukan apakah suatu pixel pada gambar tersebut merupakan warna kulit manusia. Penelitian sebelumnya telah membuat ruang warna berbasis pixel diantaranya adalah ruang warna RGB, normalisasi RGB, HIS/HSV, TSL, YCbCr dll. Suatu matrik bujur sangkar NxN mempunyai nilai karakteristik (λ) sebanyak N dimana nilai masing-masing berupa bilangan real. Suatu citra dapat dipecah menjadi M matrik bujur sangkar dan kemudian dicari nilai λ nya. Penelitian ini akan mencari ruang warna kulit manusia berdasarkan nilai karakteristik (ƛ) matrik window citra. Dari hasil pengujian hamper semua warna kulit dapat dideteksi, namun image untuk warna kulit yang tidak mencolok beberapa obyek pada image dapat ditampilkan dengan baik meskipun bukan kulit. Kata kunci: Citra Kulit, Nilai Karakteristik (λ), Matrik Window Abstract The development of the transaction and distribution of huge data, especially when the information technology and communication via the web can be reached by anyone using the increasingly diverse, making the user requires an application that completely easy to use. Among them is the identification of objects that are in the multimedia data such as text, images and sound. Color detection, particularly the detection of human skin color is an early stage identification of human presence on the 2-dimensional image. There are a number of methods to determine whether a pixel in the image is the color of human skin. Previous studies have made such pixel based color space is RGB color space, normalized RGB, HIS/HSV, TSL, YCbCr etc. An NxN square matrix has eigenvalues (λ) of N where the value of each form of real numbers. An image can be broken down into a square matrix M and then sought its λ value. This study will look for human skin color space based on the value of the characteristic (ƛ) matrix image window. From the test results almost all skin colors can be detected, but the image for an inconspicuous color multiple objects in the image can be displayed well although not leather. Keywords: skin image, value of the characteristic(λ), Matrix Windows
Collaboration network of the authors
19 authors · 32 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Sigit Adinugroho | University of Brawijaya | 3 |
| Rizal Setya Perdana | University of Brawijaya | 2 |
| Randy Cahya Wihandika | University of Brawijaya | 2 |
| Nurul Hidayat | University of Brawijaya | 1 |
| Yuita Arum Sari | University of Brawijaya | 1 |
| Yurdha Fadhila Hernawan | University of Brawijaya | 1 |
| Naziha Azhar | University of Brawijaya | 1 |
| Ilham Firmansyah | University of Brawijaya | 1 |
| Dewi Novita Sari | University of Brawijaya | 1 |
| Zahra Asma Annisa | University of Brawijaya | 1 |
| Faiz Aulia Al Farisi | University of Brawijaya | 1 |
| Budi Darma Setiawan | University of Brawijaya | 1 |
| Rafi Indra Fattah | Affiliation unknown | 1 |
| Rafi Indra Fattah | Affiliation unknown | 1 |
| Indriati . | Affiliation unknown | 1 |
| Matyus Garbela Ismanto | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.