Gabor Contrast Patterns: A Novel Framework to Extract Features From Texture Images-Reference-Cited by-同舟云学术

Gabor Contrast Patterns: A Novel Framework to Extract Features From Texture Images

Published:2023 Issue: Volume:11 Page:60324-60334
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Muzaffar Abdul Wahab¹^ORCID,Riaz Farhan²,Abuain Tarik¹^ORCID,Abu-Ain Waleed Abdel Karim³,Hussain Farhan⁴,Farooq Muhammad Umar⁴^ORCID,Azad Muhammad Ajmal⁵

Affiliation:

1. College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia

2. School of Computer Science, University of Lincoln, Lincoln, U.K

3. Applied College, Taibah University, Al Madinah Al Munawwarah, Saudi Arabia

4. Department of Computer and Software Engineering, National University of Sciences and Technology, Islamabad, Pakistan

5. Department of Computer Science and Digital Technologies, Birmingham City University, Birmingham, U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10135089.pdf?arnumber=10135089

Reference59 articles.

1. Pixel to Patch Sampling Structure and Local Neighboring Intensity Relationship Patterns for Texture Classification

2. Median Robust Extended Local Binary Pattern for Texture Classification

3. A comparative study of texture measures with classification based on featured distributions

4. Joint Adaptive Median Binary Patterns for texture classification

5. A Novel Local Pattern Descriptor—Local Vector Pattern in High-Order Derivative Space for Face Recognition

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