Developing Wood Identi?cation System By Local Binary Pattern And Hough Transform method
MOCH LUTHFI HADIWIDJAJA
Informasi Umum
Kode
18.04.2321
Klasifikasi
C -
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Image Processing - Computer Vision
Dilihat
302 kali
Informasi Lainnya
Abstraksi
The aim of this paper is to develop the wood identification system using two methods, called, Local Binary Pattern (LBP) and Hough Transform (HT). Here, 12 (twelve) varies of wood species form Indonesia will be used as the data sets. The wood species are taken form wood anatomy laboratory, Puslitbang Hasil Hutan (P3HH). This research is a part of a collaboration between Puslitbang and The Indonesian Institute of Sciences (LIPI). Here, the classification method of this research use Euclidean Distance (ED) to determine the distance of two images of wood. From the classification results, using LBP method is shown better than HT. By using LBP method, 6 of 12 species are 100% accurate detected. Beside, using HT method, only one species has accuracy 90%.
- CCH3D2 - KERJA PRAKTEK
- CNH403 - KOMPUTASI PARALEL PADA PENGOLAHAN CITRA
- CCH4A3 - PENULISAN PROPOSAL
- IK2143 - PERANCANGAN BASIS DATA
- IK2013 - STATISTIKA
- CCH4B4 - TUGAS AKHIR
- CII4A2 - PENULISAN PROPOSAL
- CII4E4 - TUGAS AKHIR
- III4A4 - TUGAS AKHIR
- CII9G6 - PROPOSAL PENELITIAN
Koleksi & Sirkulasi
Seluruh 1 koleksi sedang dipinjam
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Pengarang
| Nama | MOCH LUTHFI HADIWIDJAJA |
| Jenis | Perorangan |
| Penyunting | P. H. Gunawan, Esa Prakasa |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom |
| Kota | |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
