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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Jurnal INKOM Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Journal of Information Technology and Computer Science INOVTEK Polbeng - Seri Informatika Jurnal Teknologi Informatika dan Komputer
Esa Prakasa, Esa
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Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Journal : Jurnal INKOM

 1 
Texture Feature Extraction by Using Local Binary Pattern Prakasa, Esa
INKOM Journal Vol 9, No 2 (2015)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (898.893 KB) | DOI: 10.14203/j.inkom.420

Abstract

Local Binary Pattern (LBP) is a method that used to describe texture characteristics of the surfaces. By applying LBP, texture pattern probability can be summarised into a histogram. LBP values need to be determined for all of the image pixels. Texture regularity might be determined based on the distribution shape of the LBP histogram. The implementation results of LBP on two texture types - synthetic and natural textures - shows that extracted texture feature can be used as input for pattern classification. Euclidean distance method is applied to classify the texture pattern obtained from LBPcomputation.
Co-Authors AMIN NUR Ardhi, Ovide Decroly Wisnu Arief Rachman Efri Suhartono Feri Candra Gaho, Ridol Liusman Haddad Alwi Yafie IRSAN TAUFIK ALI Kusworo Adi Oktaria, Anindita Safna Putra, Muhamad Zahara Anugrah Retnaningsih Soeprobowati, Tri Syamsul Arifin Tri Retnaningsih Soeprobowati Wisnu Ardhi, Ovide Decroly