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Feature extraction on local jet space for texture classification
- Source :
- Physica A: Statistical Mechanics and its Applications, Physica A: Statistical Mechanics and its Applications, Elsevier, 2015, ⟨10.1016/j.physa.2015.06.046⟩, Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- International audience; The proposal of this study is to analyze the texture pattern recognition over the local jet space looking forward to improve the texture characterization. Local jets decompose the image based on partial derivatives allowing the texture feature extraction be exploited in different levels of geometrical structures. Each local jet component evidences a different local pattern, such as, flat regions, directional variations and concavity or convexity. Subsequently , a texture descriptor is used to extract features from 0th, 1st and 2nd-derivative components. Four well-known databases (Brodatz, Vistex, Usptex and Outex) and four texture descriptors (Fourier descriptors, Gabor filters, Local Binary Pattern and Local Binary Pattern Variance) were used to validate the idea, showing in most cases an increase of the success rates.
- Subjects :
- Statistics and Probability
Texture compression
Local binary patterns
business.industry
Texture Descriptor
pattern recognition
Feature extraction
Local jet space
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Pattern recognition
Condensed Matter Physics
Texture (geology)
Image texture
image analysis
Texture filtering
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Computer Science::Computer Vision and Pattern Recognition
RECONHECIMENTO DE PADRÕES
Pattern recognition (psychology)
Artificial intelligence
business
texture
Mathematics
Subjects
Details
- ISSN :
- 03784371
- Volume :
- 439
- Database :
- OpenAIRE
- Journal :
- Physica A: Statistical Mechanics and its Applications
- Accession number :
- edsair.doi.dedup.....1f2e5776f3308e470abe7b30b4d896e2