Informasi Umum

Kode

19.04.1493

Klasifikasi

C -

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Image Processing - Computer Vision

Informasi Lainnya

Abstraksi

Wood is one of Indonesia’s very rich natural resources abundant because the number reaches around 4,000 species. The process of identifying wood species currently it is still done manually in a relatively long time by observing types of fibers, vessels, rays, and other structures directly because there is not a much automatic application of identi?cation of wood species is made. This is an obstacle for experts anatomy of wood because it must check wood species accurately and quickly. Therefore that, the field of Computer Vision is the right solution to develop the process Identification of wood species automatically. In this research program will be made application of Computer Vision to identify wood species with using the Daubechies Wavelet (DW) and Local Binary Pattern (LBP) methods for The extraction of the wood pattern is then classified Support Vector Machine (SVM) method. Results obtained in this study is able to identify the microscopic image of wood as a species of wood with average SVM accuracy is 85%.

  • CCH3B3 - KECERDASAN BUATAN
  • CNH4G3 - MACHINE LEARNING
  • CNH2F3 - PEMROGRAMAN BERORIENTASI OBJEK
  • IKG2A3 - PEMROGRAMAN TERSTRUKTUR II
  • CCH4A3 - PENULISAN PROPOSAL
  • CCH1B4 - STRUKTUR DATA
  • CCH4B4 - TUGAS AKHIR
  • CII2B4 - STRUKTUR DATA
  • CRI2D3 - KECERDASAN BUATAN
  • CII4A2 - PENULISAN PROPOSAL
  • CII4E4 - TUGAS AKHIR
  • III4A4 - TUGAS AKHIR
  • CII9G6 - PROPOSAL PENELITIAN

Koleksi & Sirkulasi

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Pengarang

Nama SALMA
Jenis Perorangan
Penyunting PUTU HARRY GUNAWAN, ESA PRAKASA
Penerjemah

Penerbit

Nama Universitas Telkom
Kota Bandung
Tahun 2019

Sirkulasi

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