Texture representation for wood defect image classification using enhanced colour uniform local binary pattern

Wood defect classification remains a critical challenge in the timber industry due to natural variations in defect appearance, illumination inconsistencies, and texture complexity across wood species. Traditional manual inspection methods for assessing wood quality are time-consuming, subjective, an...

Full description

Bibliographic Details
Main Author:	Rahiddin, Rahillda Nadhirah Norizzaty
Format:	Thesis
Language:	English English
Published:	2025
Subjects:	T Technology TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/29453/
Abstract	Abstract here

Similar Items

Statistical texture representation for wood defect image classification using local binary pattern variants
by: Rahiddin, Rahillda Nadhirah Norizzaty
Published: (2021)

Paper texture identification using gabor filters and local binary pattern operators
by: Shihab Hamad Khaleefah (P74159)
Published: (2023)

Geometrical insensitive-to shear and half rotation texture descriptor from local binary pattern for paper fingerprinting
by: Omar M Wahdan Al Hasan ( P60050)
Published: (2023)

Outdoor oil palm fruit classification using clusteringbased segmentation and colour-texture features
by: Rosbi, Munirah
Published: (2026)

An integrated local binary pattern, convolution neural network and evolving spiking neural network for scoliosis classification
by: Sabri, Nurbaity
Published: (2026)

Development of computerized wood veneer colour sorting system for wood industry / Liew Shaer Jin
by: Liew , Shaer Jin
Published: (2024)

Illumination removal and text segmnetation for Al-Quran using binary representation
by: Nazeeh Jamil Bany Melhem
Published: (2015)

Edge direction matrixes-local binary patterns descriptor for shape pattern recognition
by: Mohammed Ahmed Talab (P63369)
Published: (2023)

A new feature-based wavelet completed local ternary pattern (FEAT-WCLTP) for texture and medical image classification
by: Shamaileh, Abeer Moh'd Salem
Published: (2019)

Wood defect detection and classification using deep learning / Yap Yi Ren
by: Yap, Yi Ren
Published: (2019)

New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
by: Eng , Sheh Ling
Published: (2016)

2022_Content Based Image Retrieval Based On Weighted Colour And Texture Features
by: Abd Rasid Bin Mamat
Published: (2022)

Colour-Texture Fusion In Image Segmentation For Content-Based Image Retrieval Systems
by: Ooi , Woi Seng
Published: (2007)

Texture classification using neural network
by: Mohd Yahyal, Haq Muslan
Published: (2006)

Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin
by: Liew , Shaer Jin
Published: (2024)

Enhanced ethnicity identification model based on hybrid optimal skin colour and texture features
by: Mohd. Zamri Osman
Published: (2025)

The formulation of a transfer learning pipeline for the classification of the wafer defects
by: Lim, Shi Xuen
Published: (2023)

Classification of EEG based task on colour visualization and colour imagery
Published: (2012)

Artificial neural network system for texture analysis and classification
by: Jazzar Moneef Mohammad Abdel-Kareem
Published: (2023)

Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining
by: Dian Sa’adillah Maylawati
Published: (2023)

Defect classification in reciprocating compressor using acoustic emission technique / Sim Hoi Yin
by: Sim, Hoi Yin
Published: (2013)

Improved Local Line Binary Pattern (Illbp): An Improved Lbp-Based Biometric Descriptor For Face And Finger Vein Recognition
by: Chaiwuh, Shing
Published: (2013)

Classification of rail defect based on B-type display image using deep learning method
by: Li, Jie
Published: (2023)

Representations of women in Suchen Christine Lim`s fistful of colours and a bit of earth
by: Shahrul Annuar bin Othman
Published: (2024)

Detection of surface crack in building structures using 1d local binary pattern (lbp) algorithm and k-nn classifier
by: Siow, Shien Loong
Published: (2025)

Computer Vision Inspection And Classification On Printed Circuit Boards For Flux Defects
by: Ang, Teoh Ong
Published: (2016)

Implementation of vision system for defects classification method using international standard welding imperfection
by: Awang, Nurfadzylah
Published: (2018)

Evaluation of mechanical properties of Malaysia local source wood for electric cruiser board applications / Mohamad Rosman Othaman
by: Mohamad Rosman, Othaman
Published: (2020)

Design of intelligent wood recognition system for the classification of tropical wood species (Full text)
Published: (2025)

Pattern classification of human interactions from videos / Muhsin Abdul Mohammed
by: Muhsin , Abdul Mohammed
Published: (2018)

Studies On Effect Of Laser-Wood Interactions Of Some Malaysian Hard Woods
by: Jaafar, Nor Fadhlin
Published: (2007)

An enhance embedding method using edge and textures detection for image steganography
by: Al-Maliki, Alaa Jabbar Qasim
Published: (2024)

Die defect classification using image processing
by: Darmadevaindra Maniam
Published: (2025)

Source identification of captured video using photo response non-uniformity noise pattern and svm classifiers
by: Roya Esmaeilani
Published: (2025)

Studies On Effect Of Laser-Wood Interactions Of Some Malaysian Hard Woods
by: Jaafar, Nor Fadhlin
Published: (2007)

Content Based Retrieval Using Colour And Texture Of Wavelet Based Compressed Images [TA1637. I67 2008 f rb].
by: Abdul Fatah, Irfan Afif
Published: (2008)

Wood defect identification using convolutional neural network features with support vector machine classifier
by: Ali, Martina
Published: (2025)

Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection
by: Yong, Guang
Published: (2019)

Improved texture classification using artificial bee colony algorithm and rearrangement matrix method
by: Fthi M A Albkosh
Published: (2020)

Oil palm fresh fruit bunches ripeness classification with color and texture features extraction
by: Shuwaibatul Aslamiah Ghazalli
Published: (2025)