Content-addressable holographic data storage system for invariant pattern recognition of gray-scale images
| Autor: | Joby Joseph, Alpana Bhagatji, Kehar Singh |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
business.industry
Computer science Materials Science (miscellaneous) Binary image Fast Fourier transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Digital imaging Image processing Pattern recognition Grayscale Industrial and Manufacturing Engineering Holographic Data Storage System symbols.namesake Optics Fourier transform Computer Science::Computer Vision and Pattern Recognition symbols Artificial intelligence Business and International Management business |
| Zdroj: | Applied optics. 49(3) |
| ISSN: | 1539-4522 |
| Popis: | Conventionally a holographic data storage system uses binary digital data as the input pages. We propose and demonstrate the use of a holographic data storage system for the purpose of invariant pattern recognition of gray-scale images. To improve the correlation accuracy for gray-scale images, we present a coding technique, phase Fourier transform (phase-FT) coding, to code a gray-scale image into a random and balanced digital binary image. In addition to the fact that a digital data page is obtained for incorporation into a holographic data storage system, this phase-FT coded image produces dc-free homogenized Fourier spectrum. This coded image can also be treated as an image for further processing, such as synthesis of distortion-invariant filters for invariant pattern recognition. A space-domain synthetic discriminant function (SDF) filter has been synthesized using these phase-FT coded images for rotation-invariant pattern recognition. Both simulation and experimental results are presented. The results show good correlation accuracy in comparison to correlation results obtained for SDF filter synthesized using the original gray-scale images themselves. |
| Databáze: | OpenAIRE |
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