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US 2012/0069170 A1Published application
System for image rendering or spectral recognition
AssigneeSpynsite, LLC
InventorMark Gesley
Life of this patent
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Abstract
Embodiments of a method or a system for rendering images or spectral recognition are described.
Claims41
A system comprising:
- an arrangement of components capable of being synchronized to perform parallel processing of illuminated regions of thin film samples for spectral or high resolution spatial evaluation at a sufficient rate so that on average a target run time throughput is met or exceeded;
- said arrangement including:
- an optical flat to receive one or more of said thin film samples, said one or more of said thin film samples comprising a thinly approximately evenly spread sample, said optical flat being part of a movably controllable stage assembly so that separate regions of a particular thin film sample are capable of being illuminated during system operation over a processing period;
- a light source with associated optics to be capable of illuminating said separate regions of said particular thin film sample at least over a range of wavelengths of light, said separate regions of said particular thin film sample to be illuminated in a manner so that at least some of the illuminating light is capable of being captured by an optical detector;
- and
- a special purpose computing device coupled to said optical detector so as to receive captured pixel signal sample values over one or more of said processing periods, said captured pixel signal sample values representing a signal characteristic of said illuminating light for said separate regions of said particular thin film sample, said special purpose computing device programmed so as to be capable of parallel processing pixel signal values from said separate regions of said particular thin film sample for spectral or high resolution spatial evaluation.
3 more elements
An apparatus comprising:
- an arrangement of components capable of being synchronized to generate images or spectra to be digitally rendered and categorized through parallel processing of illuminated regions of a thin film sample at a sufficient throughput so that on average a misclassification probability of one part per billion in 12 hours is met or exceeded.
A method of processing thin film samples for spectral or high resolution spatial evaluation comprising:
- applying a sample substance to an optical flat in a manner to be thinly approximately evenly spread;
- illuminating separate regions of the thinly approximately evenly spread sample substance with light at selected wavelengths through relative positioning with respect to a light source;
- capturing as pixel signal sample values at least some of said light that illuminated said separate regions;
- parallel processing the captured pixel signal sample values for said separate regions to generate a spectra for particular signal characteristics of said light that illuminated said separate regions;
- categorizing of said sample substance based at least in part on a comparison of the generated spectra with stored spectra;
- and
- synchronizing said applying, illuminating, capturing, parallel processing and categorizing at a sufficient rate so that on average a target run time throughput is met or exceeded.
4 more elements
A method of increasing separation between two or more distributions contained within a set of signal sample values, comprising:
- applying one or more signal transformations to a set of training signal sample values to increase distribution separation;
- applying said one or more signal transformations to said set of signal sample values;
- and
- applying a score to said transformed signal sample values based at least in part on a comparison metric as part of a process of categorization.
1 more element
A method of increasing separation between two or more distributions contained within a set of signal sample values, comprising:
- applying one or more signal transformations to said set of signal sample values to increase distribution separation;
- and
- applying a score to said transformed signal sample values based at least in part on a comparison metric as part of a process of categorization.
A method of transforming a set of signal sample values, comprising:
- applying one or more signal transformations to said set of signal sample values;
- wherein said one or more signal transformations to be applied are determined based at least in part on satisfying a covariance stability criterion for the set of signal sample values.
An article comprising:
- a storage medium having stored thereon instructions executable by a computing device so as to apply one or more signal transformations to a set of training signal sample values to increase distribution separation;
- apply said one or more signal transformations to said set of signal sample values;
- and apply a score to said transformed signal sample values based at least in part on a comparison metric as part of a process of categorization.
An article comprising:
- a storage medium having stored thereon instructions executable by a computing device so as to apply one or more signal transformations to said set of signal sample values to increase distribution separation;
- and apply a score to said transformed signal sample values based at least in part on a comparison metric as part of a process of categorization.
An article comprising:
- a storage medium having stored thereon instructions executable by a computing device so as to apply one or more signal transformations to said set of signal sample values;
- wherein said one or more signal transformations to be applied are to be determined based at least in part on satisfying a covariance stability criterion for the set of signal sample values.
Dependencies are inferred from the claim text.