Hardware platform for regions extraction in foveal images
| Autor: | P. Camacho, Martin Gonzalez, Francisco Sandoval, Francisco J. Coslado |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Computer science
Image quality Machine vision business.industry Multiresolution analysis ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing computer.software_genre Digital image Information extraction Foveal Segmentation Computer vision Artificial intelligence Active vision business Image resolution computer Computer hardware |
| Zdroj: | VCIP |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.502254 |
| Popis: | Foveal sensors can substantially increase the performance of active vision systems because of their ability to handle wide field of view and simultaneously reducing the data/bandwidth with space variant sensing. In order to process the multiresolution images and associated data structures, a new hierarchical processing has been applied to minimize data communications and retrieval. In the paper we present a hardware platform implementing a level sequential segmentation algorithm in one of these hierarchical structures generated using a Cartesian lattice topology. This platform is designed to work at 33 frame/s using as an input the levels obtained after preprocessing the uniform resolution images from digital cameras. |
| Databáze: | OpenAIRE |
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