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公开(公告)号：US11779205B2
公开(公告)日：2023-10-10
申请号：US16976375
申请日：2019-03-01
Applicant: KOWA COMPANY, LTD.
Inventor： Reiko Arita , Katsumi Yabusaki
CPC classification number: A61B3/101 , A61B3/0025 , A61B3/1015 , A61B3/14 , G06F18/24 , G06V10/25 , G06V10/758 , G06V40/16
Abstract: In classifying images by machine learning, provided are an image classification method, device, and program for classifying the image from which the feature difference is hardly detected, in particular, classifying the interference fringe image of tear fluid layer by the dry eye types. The method includes a step of acquiring a feature value from an interference fringe image of tear fluid layer for learning, a step of constructing a model for classifying an image from the feature value acquired from the interference fringe image of tear fluid layer for learning, a step of acquiring the feature value from an interference fringe image of tear fluid layer for testing, and a step of performing classification processing for classifying the interference fringe image of tear fluid layer for testing by types of dry eye using the model and the feature value acquired from the interference fringe image of tear fluid layer.
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公开(公告)号：US11514570B2
公开(公告)日：2022-11-29
申请号：US16637216
申请日：2018-08-06
Applicant: KOWA COMPANY, LTD.
Inventor： Reiko Arita , Katsumi Yabusaki
Abstract: Provided are a method, a computer program and a device for noninvasively evaluating a state of a tear fluid and a tear fluid amount of a tear meniscus.
Included are a binarization step of binarizing a tear meniscus image, obtained by capturing at least a part of a tear meniscus of a subject, using a predetermined threshold value; an extraction step of extracting a high luminance region indicating a tear meniscus part from the binarized image; and an evaluation step of evaluating a tear fluid state on the basis of the high luminance region.
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