PCA-Based Advanced Local Octa-Directional Pattern (ALODP-PCA): A Texture Feature Descriptor for Image Retrieval

PCA-Based Advanced Local Octa-Directional Pattern (ALODP-PCA): A Texture Feature Descriptor for Image Retrieval

This paper presents a novel feature descriptor termed principal component analysis (PCA)-based Advanced Local Octa-Directional Pattern (ALODP-PCA) for content-based image retrieval. The conventional approaches compare each pixel of an image with certain neighboring pixels providing discrete image in...

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Bibliographic Details
Main Authors: Muhammad Qasim, Danish Mahmood, Asifa Bibi, Mehedi Masud, Ghufran Ahmed, Suleman Khan, Noor Zaman Jhanjhi, Syed Jawad Hussain
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Electronics
Subjects:
texture classification
local binary patterns (LBP)
local ternary patterns (LTP)
local tri-directional pattern (LTriDP)
local tetra directional pattern (LTetDP)
principal component analysis (PCA)
Online Access:https://www.mdpi.com/2079-9292/11/2/202

Internet

https://www.mdpi.com/2079-9292/11/2/202

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