Extended visual appearance texture features
| Autor: | Serge Samper, Hugues Favreliere, Gilles Pitard, Jean-Luc Maire, Maurice Pillet, Simon-Frédéric Desage, Gaëtan Le Goïc, Fabrice Frelin |
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| Přispěvatelé: | Laboratoire SYstèmes et Matériaux pour la MEcatronique (SYMME), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Maria V. Ortiz Segovia, Philipp Urban, Francisco H. Imai |
| Rok vydání: | 2015 |
| Předmět: |
Soft metrology
Computer science media_common.quotation_subject Image processing 02 engineering and technology ABRDF 01 natural sciences Rendering (computer graphics) 010309 optics Perception 0103 physical sciences 0202 electrical engineering electronic engineering information engineering medicine Computer vision Texture Haralick features media_common Pixel business.industry [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph] Visual appearance Gloss (optics) Reflectivity BTF medicine.anatomical_structure BHF 020201 artificial intelligence & image processing Human eye Artificial intelligence business visual inspection surface characterization |
| Zdroj: | Proceedings of SPIE Measuring, Modeling, and Reproducing Material Appearance Measuring, Modeling, and Reproducing Material Appearance, Feb 2015, San Francisco, CA, United States. ⟨10.1117/12.2081622⟩ |
| ISSN: | 0277-786X |
| Popis: | International audience; The research purpose is to improve surface characterization based on what is perceived by human eye and on the 2006 CIE report. This report denes four headings under which possible measures might be made: color, gloss, translucency and texture. It is therefore important to dene parameters able to discriminate surfaces, in accordance with the perception of human eye. Our starting point in assessing a surface is the measurement of its reectance (acquisition of ABRDF for visual rendering), i.e. evaluate a set of images from dierent angles of lighting rather than a single image. The research question is how calculate, from this enhanced information, some discriminating parameters. We propose to use an image processing approach of texture that reects spatial variations of pixel for translating changes in color, material and relief. From a set of images from dierent angles of light, we compute associated Haralick features for constructing new (extended) features, called Bidimensional Haralick Functions (BHF), and exploit them for discriminating surfaces. We propose another framework in three parts such as color, material and relief. |
| Databáze: | OpenAIRE |
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