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    • 2. 发明申请
    • METHOD AND APPARATUS FOR ALIGNING A TWO-DIMENSIONAL IMAGE WITH A PREDEFINED AXIS
    • 用于对准具有预定轴的二维图像的方法和装置
    • WO2016108755A1
    • 2016-07-07
    • PCT/SG2015/050505
    • 2015-12-23
    • AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCHSINGAPORE HEALTH SERVICES PTE LTD
    • XU, YanwuLIU, JiangDUAN, LixinWONG, Wing Kee, DamonAUNG, TinMANI, BaskaranPERERA, Shamira
    • G06T3/00G06T3/60A61B5/00
    • G06T7/0012A61B3/102A61B5/004A61B5/0066A61B2576/02G06T3/0068G06T2207/10101G06T2207/20182G06T2207/20224G06T2207/30041
    • A method and apparatus for aligning a two-dimensional eye image with a predefined axis by rotation at a rotation angle are disclosed, the method comprising deriving the rotation angle and a de-noised image, which minimises a cost function comprising (i) a complexity measure of the de-noised image and (ii) magnitude of a noise image obtained by rotating the first image by the rotation angle and subtracting the de-noised image. Related methods and apparatus are disclosed for aligning a plurality of images with the predefined axis before alignments in transverse and parallel directions, as well as averaging the aligned images, in further embodiments, a method and apparatus of determining angle closure are disclosed, using a database of reference eye images with and without eye closure, the method comprising obtaining a two dimensional eye image, determining respective weights for each reference images that minimise a cost function comprising the difference between the received image and sum of the weighted reference images; identifying at Ieast one of the first and second reference images having least differences with received image and determining whether the eye exhibits eye closure based on the received image being closer to first or second weighted reference images.
    • 公开了一种用于通过以旋转角度旋转将二维眼图与预定轴对准的方法和装置,所述方法包括导出旋转角度和去噪图像,其最小化成本函数,其包括(i)复杂度 去噪图像的测量和(ii)通过旋转第一图像旋转角度并减去去噪图像获得的噪声图像的大小。 公开了相关的方法和装置,用于在横向和平行方向上的对齐之前将多个图像与预定义的轴对准,以及平均对齐的图像。在另外的实施例中,使用数据库公开了确定角度关闭的方法和装置 具有和不具有眼睛闭合的参考眼睛图像,所述方法包括获得二维眼睛图像,确定使包含所述接收图像与所述加权参考图像的和之间的差异的成本函数最小化的每个参考图像的相应权重; 在Ieast识别具有与接收图像具有最小差异的第一和第二参考图像之一,并且基于接收到的图像更接近第一或第二加权参考图像来确定眼睛是否显示眼睛闭合。