Texture characterization via deterministic walks’ direction histogram applied to a complex network-based image transformation

Author:

Couto Leandro N.,Backes Andre R.,Barcelos Celia A.Z.

Funder

CNPq

FAPEMIG

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference53 articles.

1. Texture analysis for magnetic resonance imaging;Hájek,2006

2. Content based image retrieval using color, texture and shape features;Hiremath,2007

3. Dynamic texture analysis and segmentation using deterministic partially self-avoiding walks;Goncalves;Expert Syst. Appl.,2013

4. Texture synthesis by non-parametric sampling;Efros,1999

5. Deterministic tourist walks as an image analysis methodology based;Backes,2006

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1. Complex Network-Based Image Classification Method;2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD);2022-05-27

2. Image Recognition and Analysis: A Complex Network-Based Approach;IEEE Access;2022

3. Texture classification using deterministic walk and the influence of the neighbor set;Signal, Image and Video Processing;2020-05-27

4. Face Recognition Using LBP on an Image Transformation Based on Complex Network Degrees;2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI);2019-10

5. Color–Texture Pattern Classification Using Global–Local Feature Extraction, an SVM Classifier, with Bagging Ensemble Post-Processing;Applied Sciences;2019-08-01

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