一种寻找赫希伯格点并确定婴儿数字图像固定的模糊方法

T. Wang, J. Keller, G. Cibis
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引用次数: 2

摘要

对婴儿进行眼疾筛查充满了不确定性。婴儿无法描述症状,通常可能不合作。在一项正在进行的研究项目中,我们正在开发筛查婴儿弱视的方法,弱视是一种常见但可治疗的眼疾。该方法包括处理婴儿的一系列数字帧,寻找婴儿“固定”在相机定位的光线上的少数图像。对检测到的瞳孔所做的测量被用来产生模糊的置信值,这些置信值被融合在一起,以创建固定的总体置信值(确定弱视的关键因素)。在这种计算中,最重要也是最困难的因素之一是确定赫施伯格点——光源在眼睛前部的反射点——是否存在。检测标准最好被认为是模糊规则和方法来评分潜在的赫施伯格点被开发。结果显示在临床环境中收集的各种图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy approach to find Hirschberg points and to determine fixation in digital images of infants
Screening infants for eye problems is loaded with uncertainty. Babies are unable to describe symptoms and in general may not be cooperative. In an ongoing research project, we are developing methods to screen infants for amblyopia, a common, but treatable, eye problem. The approach consists of processing a sequence of digital frames of the baby, searching for the few images where the infant "fixes" on a light positioned by the camera. Measurements made on the detected pupils are used to produce fuzzy confidence values that are fused together to create an overall confidence of fixation (the key factor in determining amblyopia). One of the most important and difficult factors in this calculation is the determination of the Hirschberg points - points of reflection of the light source off the front of the eye- if they exist at all. The criteria for detection are best thought of as fuzzy rules and methods to score potential Hirschberg points are developed. Results are shown on a variety of imagery collected in a clinical setting.
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