Back to results
US 2020/0050852 A1Published application
Image processing system, processing method, and storage medium
AssigneeCanon Kabushiki Kaisha
InventorsYoshihiko Iwase, Hiroyuki Shinbata, Makoto Sato
Life of this patent
Estimating the term…
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
1-13. (canceled)
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 image obtaining unit configured to obtain a fundus image captured by a fundus imaging device and a plurality of tomographic images captured by a tomographic imaging apparatus;
- a detection unit configured to detect a retinal layer of a fundus retina in each of the plurality of tomographic images;
- a feature amount obtaining unit configured to obtain a 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;
- a map generation unit configured to generate a feature amount map based on the feature amount of the retinal layer;
- and
- a display control unit configured to display a current image analysis result of a current plurality of tomographic images and a previous image analysis result of a previous plurality of tomographic images on a display screen, each of the current image analysis result and the previous image analysis result including the tomographic image, the fundus image and the feature amount map superimposed on the fundus image.
6 more elements
An image processing method comprising:
- obtaining a fundus image captured by a fundus imaging device and a plurality of tomographic images captured by an tomographic imaging apparatus;
- detecting a retinal layer of a fundus retina in each of the plurality of tomographic images;
- obtaining a 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;
- generating a feature amount map based on the feature amount of the retinal layer;
- and
- displaying a current image analysis result of a current plurality of tomographic images and a previous image analysis result of a previous plurality of tomographic images on a display screen, each of the current image analysis result and the previous image analysis result including the tomographic image, the fundus image and the feature amount map superimposed on the fundus image.
3 more elements
Dependencies are inferred from the claim text.