Invention Grant
US08483433B1 Detection of faint perturbations of interest using statistical models of image texture
有权
使用图像纹理的统计模型检测感兴趣的微弱扰动
- Patent Title: Detection of faint perturbations of interest using statistical models of image texture
- Patent Title (中): 使用图像纹理的统计模型检测感兴趣的微弱扰动
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Application No.: US12885348Application Date: 2010-09-17
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Publication No.: US08483433B1Publication Date: 2013-07-09
- Inventor: John Brandon Laflen , Glen William Brooksby , Robert A. Kaucic
- Applicant: John Brandon Laflen , Glen William Brooksby , Robert A. Kaucic
- Applicant Address: US MD Bethesda
- Assignee: Lockheed Martin Corporation
- Current Assignee: Lockheed Martin Corporation
- Current Assignee Address: US MD Bethesda
- Agency: McDermott Will & Emery LLP
- Main IPC: G06K9/00
- IPC: G06K9/00

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.
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