Apparatus and method for detecting object in image, and apparatus and method for computer-aided diagnosis
AssigneeSamsung Electronics Co., Ltd.
InventorJoo Hyuk Jeon
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Abstract
An apparatus for detecting an object in an image, including a detection group determiner configured to classify a plurality of feature levels into one or more detection groups, wherein the plurality of feature levels includes multiple scales and are arranged as a feature pyramid; and a detection group processor configured to create one or more feature maps corresponding to the one or more detection groups, and to detect an object by applying one or more models to the one or more feature maps.
Claims20
An apparatus for detecting an object in an image, the apparatus comprising:
- a memory configured to store instructions;
- and
- at least one processor, upon executing the stored instructions, configured to:
- classify a plurality of feature levels included in the image into one a plurality of detection groups, wherein the plurality of feature levels includes multiple scales,
- create a plurality of feature maps which respectively correspond to the plurality of detection groups from the image, wherein each of the plurality of feature maps includes a feature map which corresponds to a lowest feature level in each of the plurality of detection groups;
- and
- detect an object by applying one or more models to the plurality of feature maps.
A method for detecting an object in an image, comprising:
- classifying a plurality of feature levels included in the image into a plurality of detection groups, wherein the plurality of feature levels includes multiple scales;
- creating a plurality of feature maps which respectively correspond to the plurality of detection groups, wherein each of the plurality of feature maps includes a feature map which corresponds to a lowest feature level in each of the plurality of detection groups;
- and
- detecting an object by applying one or more models to the plurality of feature maps.
A computer-aided diagnosis (CAD) apparatus comprising:
- a memory configured to store instructions;
- and
- at least one processor, upon executing the stored instructions, configured to:
- in response to receiving a medical image, classify a scale-space of the medical image into a plurality of detection groups,
- create a plurality of feature maps which respectively correspond to the plurality of detection groups from the received medical image, wherein each of the plurality of feature maps includes a feature map which corresponds to a lowest feature level in each of the plurality of detection groups,
- detect a lesion by applying one or more models to the plurality of feature maps, and
- determine whether the detected lesion is benign.
Dependencies are inferred from the claim text.