- 专利标题: Machine-Learning Measurements of Quantitative Feature Attributes
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申请号: US15990809申请日: 2018-05-28
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公开(公告)号: US20180276807A1公开(公告)日: 2018-09-27
- 发明人: William S. Kish , Huayan Wang , Sandip C. Patel , Yui Ming Tsang
- 申请人: Cogniac, Corp.
- 申请人地址: US CA San Jose
- 专利权人: Cogniac, Corp.
- 当前专利权人: Cogniac, Corp.
- 当前专利权人地址: US CA San Jose
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; G06K9/66 ; G06K9/46
摘要:
A computer system may train and use a machine-learning model to quantitatively analyze an image. In particular, the computer system may generate the machine-learning model based on a set of reference images that include content with instances of a quantitative feature attribute and one or more feedback metrics that specify locations of the instances of the quantitative feature attribute in the reference images and numerical values associated with the instances of the quantitative feature attribute. Then, after receiving the image from an electronic device, the computer system may analyze the image using the machine-learning model to perform measurements of one or more additional instances of the quantitative feature attribute in the image. Moreover, the computer system may provide a measurement result for the image, the measurement result including a second numerical value associated with the one or more additional instances of the quantitative feature attribute in the image.
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