Robustness-Driven Hybrid Descriptor for Noise-Deterrent Texture Classification

Robustness-Driven Hybrid Descriptor for Noise-Deterrent Texture Classification

A robustness-driven hybrid descriptor (RDHD) for noise-deterrent texture classification is presented in this paper. This paper offers the ability to categorize a variety of textures under challenging image acquisition conditions. An image is initially resolved into its low-frequency components by ap...

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Bibliographic Details
Main Authors: Ayesha Saeed, Fawad, Muhammad Jamil Khan, Muhammad Ali Riaz, Humayun Shahid, Mansoor Shaukat Khan, Yasar Amin, Jonathan Loo, Hannu Tenhunen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Feature descriptor
texture classification
Gaussian derivatives
wavelet decomposition
local binary pattern
noise robust
Online Access:https://ieeexplore.ieee.org/document/8786113/

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