| Autor: |
Mark Gesley, Romin Puri |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of the Optical Society of America. A, Optics, image science, and vision. 39(11) |
| ISSN: |
1520-8532 |
| Popis: |
Objects of interest are rendered from spectral images. Seven types of blood and cancer cells are imaged in a microscope with changes in source illumination and sensor gain over one year calibrated. Chromatic distortion is measured and corrections analyzed. Background is discriminated with binary decisions generated from a training sample pair. A filter is derived from two sample-dependent binary decision parameters: a linear discriminant and a minimum error bias. Excluded middle decisions eliminate order-dependent errors. A global bias maximizes the number and size of spectral objects. Sample size and dimensional limits on accuracy are described using a covariance stability relation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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