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首页> 外文会议>RIAO/OPTILAS 2004 >Image processing of standard grading scales for objective assessment of contact lens wear complications
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Image processing of standard grading scales for objective assessment of contact lens wear complications

机译：标准分级量表的图像处理，用于客观评估隐形眼镜的磨损并发症

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Ocular complications in contact lens wearers are usually graded by specialists using visual inspection and comparing with established standards. The standard grading scales consist of either a set of illustrations or photographs ordered from a normal situation to a severe complication. In this work, an objective assessment of contact lens wear complications is intended by applying different image processing techniques to two standard grading scales (Efron and CCLRU grading scales). In particular, conjunctival hyperemia and papillary conjunctivitis are considered. Given a set of standard illustrations or pictures for each considered ocular disorder, image preprocessing is needed to compare equivalent areas. Histogram analysis allows segmenting vessel and background pixel populations, which are used to determine the most relevant features in the measurement of contact lens effects. Features such as color, total area of vessels and vessel length are used to evaluate bulbar and lid redness. The procedure to obtain an automatic grading method by digital image analysis of standard grading scales is described.
机译：隐形眼镜配戴者的眼部并发症通常由专家使用目测检查进行分级，并与既定标准进行比较。标准分级量表由一组从正常情况到严重并发症的插图或照片组成。在这项工作中，旨在通过将不同的图像处理技术应用于两个标准等级量表（Efron和CCLRU等级量表）来客观评估隐形眼镜的佩戴并发症。特别地，考虑到结膜充血和乳头状结膜炎。给定用于每种考虑到的眼部疾病的一组标准插图或图片，需要进行图像预处理以比较等效区域。直方图分析可以对血管和背景像素进行分割，从而确定隐形眼镜效果的测量中最相关的特征。颜色，血管总面积和血管长度等特征可用于评估球囊和眼睑发红。描述了通过标准分级标尺的数字图像分析获得自动分级方法的过程。

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