Information criterion of quality of image formation and analysis in the noncontact monitoring of objects
| Autor: | Igor P. Gurov, M. V. Daineko |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Image formation
Computer science business.industry Applied Mathematics General Engineering Phase (waves) Image processing Object (computer science) Atomic and Molecular Physics and Optics Computational Mathematics Light intensity Interferometry Quality (physics) Interference (communication) Computer vision Artificial intelligence business |
| Zdroj: | Journal of Optical Technology. 87:394 |
| ISSN: | 1070-9762 |
| Popis: | The results of the investigation of the information criterion of quality in terms of image formation and processing in the noncontact monitoring of object systems are presented taking into account the statistical properties of the signals representing the images. An example of the application of the information criterion to interferometric systems is examined, and the information criterion and traditional criteria—signal-to-noise ratio and interference fringe phase error—are compared. The information criterion of quality has a versatile character when applied to various problems of the noncontact monitoring of objects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|