A Fuzzy logic-based approach for colour vision deficiency diagnosis

Ingrid, Langer and Edit, Laufer (2025) A Fuzzy logic-based approach for colour vision deficiency diagnosis. GRADUS, 12 (2). ISSN 2064-8014

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Abstract

A number of test methods have been developed to detect colour vision deficiency. The most commonly used colour vision tests (Ishihara test, Velhagen test) are simple and quick to detect anomalous colour vision, but most of them do not provide information on the type and severity of colour vision deficiency. The most accurate diagnosis can be achieved by anomaloscope. With this instrument, a numerical result expressing the type and severity of the colour vision deficiency can be obtained. The anomaloscope is a rather expensive instrument ($18,000), available only in a few ophthalmology practices, and the examination is tedious and requires competent staff. The aim of this study is to evaluate the results of a simple, rapid colour vision test using the proposed fuzzy inference system, which is suitable to replace the rather expensive anomaloscopy examination.

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