Morphological Shape features for Classification of Textures based on Fuzzy Texture Element
| Autor: | J. Sasi Kiran, M. Rama Bai, V. Venkata Krishna |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Fuzzy logic Texture (geology) Displacement (vector) Image (mathematics) Set (abstract data type) Feature (computer vision) Simple (abstract algebra) Artificial intelligence business Texel ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | International Journal of Computer Applications. 19:22-30 |
| ISSN: | 0975-8887 |
| DOI: | 10.5120/2373-3127 |
| Popis: | Texture is an important spatial feature useful for identifying objects or regions of interest in an image. The present paper derives a new set of texture features, which are morphological shape components derived from the fuzzy texture elements of a 3x3 mask. The proposed fuzzy texture element patterns (FTP‘s) extract textural information of an image with a more complete respect of texture characteristics in all the eight directions instead of only one displacement vector. The proposed FTP‘s retains discriminating power of texture elements. In the present paper, five simple morphological shape components are evaluated on each of the derived FTP. The experimental results on the five groups of texture images clearly show the efficacy and simplicity of the present method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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