Texture segmentation using filters with optimized energy separation
| Autor: | Trygve Randen, John Hakon Husoy |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Computer science
business.industry Feature extraction Pattern recognition Image processing Image segmentation Filter (signal processing) Computer Graphics and Computer-Aided Design Image texture Feature (computer vision) Computer vision Segmentation Artificial intelligence business Digital filter Software Energy (signal processing) |
| Zdroj: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 8(4) |
| ISSN: | 1057-7149 |
| Popis: | The design of filters for texture feature extraction is addressed. Based on a new feature extraction model, optimization approaches utilizing various feature (energy) separation criteria are developed. Both two- and multiple-texture problems are addressed. The approaches are assessed by supervised segmentation experiments. The experiments also include results from alternative filter optimization approaches. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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