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公开(公告)号:US10034606B2
公开(公告)日:2018-07-31
申请号:US15314463
申请日:2015-04-30
Applicant: NIDEK CO., LTD.
Inventor: Cesare Tanassi , Phil Buscemi , Federico Carraro , Andrea De Giusti , Mattia Minozzi , Simone Pajaro , Michele Pascolini , Nicola Codogno
CPC classification number: A61B3/117 , A61B3/0025 , A61B3/0091 , A61B3/14
Abstract: An optical equipment suitable for observation of an iridocorneal annular zone of an eye including: an illumination assembly, including at least one illumination electric device for illuminating the zone with a plurality of illumination optical paths for illumination light beams going to a corresponding plurality of sub-portions, an image capturing assembly, including at least one image capturing electric device for capturing images of the zone with a plurality of imaging optical paths for imaging light beams coming from a corresponding plurality of sub-portions, and a front optical assembly having a front surface located close to front surface of an eye, a rear surface located far from front surface of an eye, and including a central portion between the front and rear surfaces and a lateral portion around the central portion; the front optical assembly is stationary; all imaging optical paths pass through central portion between the front and rear surfaces.
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公开(公告)号:US12079958B2
公开(公告)日:2024-09-03
申请号:US17602622
申请日:2020-04-15
Applicant: NIDEK CO. LTD.
Inventor: Andrea Peroni , Andrea De Giusti , Michele Pascolini , Mattia Minozzi , Simone Pajaro
CPC classification number: G06T5/50 , G06T5/70 , G06T5/90 , G06T7/13 , G06T7/30 , G06T2207/20028 , G06T2207/30041
Abstract: The method is used for creating an all-in-focus image of a portion of an iridocorneal angle of an eye starting from a plurality of images (610), these images being shallow field-depth images of that portion taken with different focus planes but with a same image frame; the method comprises the steps of: A) pre-processing (620) said plurality of images so to obtain a plurality of single-channel images if the images of said plurality are color images, B) calculating (630) an initial focus map starting from said plurality of single-channel images, C) creating (640) an initial estimated all-in-focus image starting from said initial focus map and said plurality of single-channel images, D) calculating (650) an initial edge map starting from said initial focus map and said plurality of single-channel images, E) iterating (660) a regularization process until a stop regularization condition is met, wherein the regularization process comprises removing one or more edge points of the initial edge map by considering a reference model of an iridocorneal angle of an eye, F) creating (670) said all-in-focus image starting from said plurality of images and a focus map last calculated in step E; the reference model expresses at least one geometrical parameter of a surface of an iridocorneal angle of an eye.
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