Texture classification based on succolarity
Autor: | Irina-Emilia Nicolae, Dan Popescu, J. I. R. Cojocaru |
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Rok vydání: | 2013 |
Předmět: |
Projective texture mapping
Texture compression Property (programming) business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Pattern recognition Texture (geology) Fractal Image texture Texture filtering Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | 2013 21st Telecommunications Forum Telfor (TELFOR). |
DOI: | 10.1109/telfor.2013.6716275 |
Popis: | Texture aspects are encountered in most domains that use image processing. Despite the decades of research on texture image information, texture characterization remains a competition for the scientific community because a rigorous mathematical definition of texture was not yet decided. Therefore, texture analysis and classification needs depth research and continuous improvement. Beside common fractal properties, this paper uses a modern fractal property which characterizes different texture descriptors for image analysis in order to provide additional information and to extract new texture features. |
Databáze: | OpenAIRE |
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