Image processing system, processing method, and storage medium
AssigneeCanon Kabushiki Kaisha
InventorsYoshihiko Iwase, Hiroyuki Shinbata, Makoto Sato
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Abstract
An image processing system includes: an analysis unit configured to obtain information indicating a degree of curvature of a retina from a tomographic image of an eye to be examined; and an obtaining unit configured to obtain a category of the eye to be examined based on an analysis result.
Claims13
An image processing system comprising:
- a memory that stores a program;
- and
- a processor that executes the program stored in the memory so as to function as units including:
- a detection unit configured to detect a retinal layer of a fundus retina in each of a plurality of tomographic images captured by a tomographic imaging apparatus;
- an obtaining unit configured to obtain a shape feature amount of the retinal layer of the fundus retina based on the detected retinal layer of the each of the tomographic images, the shape feature amount being a plurality of curvatures calculated at respective parts on the detected retinal layer in the tomographic image;
- and
- an analysis unit configured to obtain shape analysis information by comparing the shape feature amount of the retinal layer of the fundus retina with a database in which a plurality of shape feature amounts are stored, the plurality of shape feature amounts being classified based on ophthalmic axis length-dependent parameter.
An image processing system comprising;
- a memory that stores a program;
- and
- a processor that executes the program stored in the memory so as to function as units including:
- an obtaining unit configured to obtain a plurality of tomographic images captured by a tomographic imaging apparatus;
- a detecting unit configured to detect a retinal layer of a fundus retina in each of the plurality of tomographic images;
- and
- an analysis unit configured to obtain a shape feature amount of a fundus retina by processing the plurality of tomographic images,
- wherein the shape feature amount of the retinal layer is a plurality of signed curvature values calculated a respective parts on the detected retinal layer in the tomographic image, and
- wherein each of the plurality of signed curvature values reveals that a partial shape of the retinal layer is upward or downward concave.
An image processing method comprising:
- detecting a retinal layer of a fundus retina in each of a plurality of tomographic images captured by a tomographic imaging apparatus;
- obtaining a shape feature amount of the retinal layer of a fundus retina based on the detected retinal layer of the each of the plurality of tomographic images, the shape feature amount being a plurality of curvatures calculated at respective parts on the detected retinal layer in the tomographic image;
- and
- obtaining shape analysis information by comparing the shape feature amount of the retinal layer of the fundus retina with a database in which a plurality of feature amounts are stored, the plurality of feature amounts being classified based on ophthalmic axis length-dependent parameter.
An image processing method comprising:
- obtaining a plurality of tomographic images captured by a tomographic imaging apparatus;
- detecting a retinal layer of a fundus retina in each of the plurality of tomographic images;
- and
- obtaining a shape feature amount of a fundus retina by processing the plurality of tomographic images,
- wherein the shape feature amount of the retinal layer is a plurality of signed curvature values calculated respective parts on the detected retinal layer in the tomographic image,
- wherein each of the plurality of signed curvature values reveals a partial shape of the retinal layer is upward or downward concave.
A computer-readable storage medium storing a program which causes a computer to realize respective units of an image processing system, wherein the image processing system comprises:
- a detection unit configured to detect a retinal layer of a fundus retina in each of a plurality of tomographic images captured by a tomographic imaging apparatus;
- an obtaining unit configured to obtain a shape feature amount of the retinal layer of the fundus retina based on the detected retinal layer of the each of the plurality of tomographic images, the shape feature amount being a plurality of curvatures calculated at respective parts on the detected retinal layer in the tomographic image;
- and
- an analysis unit configured to obtain shape analysis information by comparing the shape feature amount of the retinal layer of the fundus retina with a database in which a plurality of feature amounts are stored, the plurality of feature amounts being classified based on ophthalmic axis length-dependent parameter.
A computer-readable storage medium storing a program which causes a computer to realize respective units of an image processing system, wherein the image processing system comprises:
- an obtaining unit configured to obtain a plurality of tomographic images captured by a tomographic imaging apparatus;
- a detecting unit configured to detect a retinal layer of a fundus retina in each of the plurality of tomographic images;
- and
- an analysis unit configured to obtain a shape feature amount of a fundus retina by processing the plurality of tomographic images,
- wherein the shape feature amount of the retinal layer is a plurality of signed curvature values calculated at respective parts on the detected retinal layer in the tomographic image, and
- wherein each of the plurality of signed curvature values reveals that a partial shape of the retinal layer is upward or downward concave.
Dependencies are inferred from the claim text.