Classification of wood defect images using local binary pattern variants

Classification of wood defect images using local binary pattern variants

This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images. The basic and variants of the LBP feature set that was constructed from a stage of feature extraction processes with the Basic LBP, Rotati...

Full description

Saved in:
Bibliographic Details
Main Authors: Rahiddin, Rahillda Nadhirah Norizzaty (Author), Hashim, Ummi Rabaah (Author), Ismail, Nor Haslinda (Author), Salahuddin, Lizawati (Author), Choon, Ngo Hea (Author), Zabri, Siti Normi (Author)
Format: EJournal Article
Published: Universitas Ahmad Dahlan, 2020-03-29.
Subjects:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Online Access:Get Fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Get Fulltext

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available

Similar Items