Difference theoretic feature set for scale‐, illumination‐ and rotation‐invariant texture classification-Reference-Cited by-同舟云学术

Difference theoretic feature set for scale‐, illumination‐ and rotation‐invariant texture classification

Published:2013-11 Issue:8 Volume:7 Page:725-732
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Susan Seba¹,Hanmandlu Madasu¹

Affiliation:

1. Electrical Engineering DepartmentIIT DelhiNew Delhi110016India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2012.0527

Reference32 articles.

1. Textural Features for Image Classification

2. 2005 Int. Symp. Visual Computing (ISVC) N. Idrissi J. Martinez D. Aboteydine Selecting a discriminant subset of co‐occurrence matrix features for texture based image retrieval 696 703

3. Markov Random Field Texture Models

4. Multichannel texture analysis using localized spatial filters

5. Texture classification using Gabor filters

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature Engineering Versus Deep Learning for Scene Recognition: A Brief Survey;International Journal of Image and Graphics;2024-04-09

2. Efficiency of difference theoretic texture feature in COVID subjects in comparison with GLCM features;AIP Conference Proceedings;2024

3. Classification of brain tumour based on texture and deep features of magnetic resonance images;Expert Systems;2023-04-16

4. Analysis of textural variations in cerebellum of brain to identify Alzheimer’s using difference theoretic texture features (DTTF) in comparison with Zernike invariant moments;THE 6TH INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT, EPIDEMIOLOGY AND INFORMATION SYSTEM (ICENIS) 2021: Topic of Energy, Environment, Epidemiology, and Information System;2023

5. Illuminance Compensation and Texture Enhancement via the Hodge Decomposition;IEEE Transactions on Circuits and Systems for Video Technology;2021-03