Texture Feature Extraction Methods: A Survey
Laboratoire Angevin de Recherche en Mathématiques · Université d'Angers
Abstract
Texture analysis is used in a very broad range of fields and applications, from texture classification (e.g., for remote sensing) to segmentation (e.g., in biomedical imaging), passing through image synthesis or pattern recognition (e.g., for image inpainting). For each of these image processing procedures, first, it is necessary to extract—from raw images—meaningful features that describe the texture properties. Various feature extraction methods have been proposed in the last decades. Each of them has its advantages and limitations: performances of some of them are not modified by translation, rotation, affine, and perspective transform; others have a low computational complexity; others, again, are easy to…
Citation impact
- FWCI
- 23.58
- Percentile
- 100%
- References
- 266
Authors
1Topics & keywords
- Computer science
- Inpainting
- Artificial intelligence
- Pattern recognition (psychology)
- Feature extraction
- Affine transformation
- Entropy (arrow of time)
- Image processing