Directional Neighborhood Topologies Based Multi-Scale Quinary Pattern for Texture Classification
This paper ideates a new computationally simple and effective local image feature descriptor, referred to as Directional Neighborhood Topologies based Multi-scale Quinary Pattern (DNT-MQP) for texture description and classification. The essence of DNT-MQP is to encode the structure of local neighbor...
Main Authors: | Elmokhtar Rachdi, Youssef El Merabet, Zahid Akhtar, Rochdi Messoussi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9268130/ |
Similar Items
-
Texture and material classification with multi-scale ternary and septenary patterns
by: E. Rachdi, et al.
Published: (2023-01-01) -
T1K+: A Database for Benchmarking Color Texture Classification and Retrieval Methods
by: Claudio Cusano, et al.
Published: (2021-02-01) -
Facial Expression Recognition Based on Texture Features
by: Alaa Nabeel Haj Najeb, et al.
Published: (2021-12-01) -
AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION
by: K. Meena, et al.
Published: (2013-11-01) -
E-BiT: Extended Bio-Inspired Texture Descriptor for 2D Texture Analysis and Characterization
by: Steve Tsham Mpinda Ataky, et al.
Published: (2023-05-01)