Gabor wavelets combined with volumetric fractal dimension applied to texture analysis
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Gabor can be combined with statistical methods to get better results.
“Besides, Gabor can be combined with statistical methods to get better results (like LBP, GLCM, fractal), and Alvaro et al. [67] confirmed that the combinational approach based on Gabor filter and volumetric fractal dimension possesses promising ability of obtaining rich texture features.”
From Automated Visual Defect Detection for Flat Steel Surface: A Survey (2020) · cites this paper as [67]
The combinational approach based on Gabor filter and volumetric fractal dimension possesses promising ability of obtaining rich texture features.
“Alvaro et al. [67] confirmed that the combinational approach based on Gabor filter and volumetric fractal dimension possesses promising ability of obtaining rich texture features.”
From Automated Visual Defect Detection for Flat Steel Surface: A Survey (2020) · cites this paper as [67]
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- Authors
- Zuñiga, A. G., Florindo, J. B., & Bruno, O. M.
- Affiliations
- Universidade de São Paulo (BR)
- ORCID
- Bruno, Odemir M.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 36
- Pages
- 135-143
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W1988963939
- Cited by
- 54
- References
- 40
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 9 · 2018: 8 · 2017: 5 · 2016: 7 · 2015: 9 · 2014: 1
- FWCI
- 6.38
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Pattern Recognition Letters (publishedVersion)
- Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo (2011/01523-1, 2012/19143-3, 2009/04362)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (473893/2010-0, 308449/2010-0)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Keywords
- Gabor wavelets, texture analysis, texture classification, texture feature extraction, fractal signature, canonical analysis, feature vector concatenation
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