Texture databases – A comprehensive survey
| Autor: | Shahera Hossain, Seiichi Serikawa |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Research groups
Database Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Texture (music) computer.software_genre Field (computer science) Task (project management) Categorization Artificial Intelligence Signal Processing Computer Vision and Pattern Recognition computer Software |
| Zdroj: | Pattern Recognition Letters. 34:2007-2022 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/j.patrec.2013.02.009 |
| Popis: | Texture analysis is a very important area in the field of computer vision and related fields. There are a good number of databases developed by different research groups for various texture analysis, in the field of medical analysis, robotics, recognition, analysis, image processing, etc. However, till-to-date, there is no comprehensive works covering the important databases and analyze these in various perspectives. In this paper, we consider this important task so that it becomes helpful for a researcher to choose and evaluate having crucial evaluating aspects in mind. We categorize and critically survey based on many references of the state-of-the-art related to the databases and other texture works. We strongly believe that this elegant survey will be a great contribution for the vision community, especially in the arena of texture analysis. |
| Databáze: | OpenAIRE |
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