{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-8483433","patent":{"patent_number":"US-8483433","title":"Detection of faint perturbations of interest using statistical models of image texture","assignee":null,"inventors":[],"filing_date":"2010-09-17T00:00:00.000Z","publication_date":"2013-07-09T00:00:00.000Z","cpc_codes":["G06T","G06V"],"num_claims":19,"abstract":"A system for detecting faint perturbations of interest in an image is described. The system includes a memory comprising the image, and a processor. The processor is configured to estimate a local mean and variance for each of a plurality of pixels in the image, analyze a local region of the image, an image mean, and an image variance using a filter bank, thereby generating a plurality of response vectors, determine a likelihood of a local perturbation in the image using a probability distribution based on the plurality of response vectors, and make a classification decision of the local perturbation. The probability distribution is calculated, for each of the plurality of response vectors, based on a response of each of the plurality of response vectors to the estimated local mean and variance for each of the plurality of pixels. Methods and machine-readable media are also described."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Detection of faint perturbations of interest using statistical models of image texture","description":"A system for detecting faint perturbations of interest in an image is described. The system includes a memory comprising the image, and a processor. The processor is configured to estimate a local mea","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-8483433","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-8483433","citation_suggestion":"Patentable. \"Detection of faint perturbations of interest using statistical models of image texture\" (US-8483433). https://patentable.app/patents/US-8483433","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-8483433","json":"https://patentable.app/api/llm-context/US-8483433","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T15:36:52.280Z"}