{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10482339","patent":{"patent_number":"US-10482339","title":"Quantifying computer vision algorithm performance in the presence of system uncertainty","assignee":null,"inventors":[],"filing_date":"2017-12-07T00:00:00.000Z","publication_date":"2019-11-19T00:00:00.000Z","cpc_codes":["G06V","G06F","G06T","G06T","G06V","G06T"],"num_claims":17,"abstract":"A method of quantifying computer vision algorithm performance. The method includes receiving a first image and a second image from an imaging system. Each of the first and second images is characterized by an image intensity value. Iteratively, an evaluation value of a noise profile is applies to the first and second images to form respective first and second composite images, and algorithm performance using the first and second composite images is measured. The measured performances are compared and an operational range of the algorithm determined. The noise profile includes at least one source of noise inherent to the imaging system."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Quantifying computer vision algorithm performance in the presence of system uncertainty","description":"A method of quantifying computer vision algorithm performance. The method includes receiving a first image and a second image from an imaging system. Each of the first and second images is characteriz","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10482339","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10482339","citation_suggestion":"Patentable. \"Quantifying computer vision algorithm performance in the presence of system uncertainty\" (US-10482339). https://patentable.app/patents/US-10482339","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10482339","json":"https://patentable.app/api/llm-context/US-10482339","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T05:03:59.103Z"}