DoctorateOpen Access

A new software for diagnostics of color-blindness

2017
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Advisor: Prof. Dr. Cemil Öz

Abstract (EN)

Colour-blindness is a vision deficiency that is prevalent on male populations. A successful colour-blindness test score is necessary in some particular professions or obtaining some certificates. However, the validity and accuracy of these tests are controversial. Ishihara colour-blindness tests, which have almost one-century background, are being used widespread to discriminate the subjects whether they have colour deficiency or not as simple as in positive/negative logic. However, the rest of the methods related to colour blindness in the related literature have not been popular since they infer some drawbacks such as invalid test equipment, time-consuming features and inadequate accuracy. Nowadays even personal computers having modern display technologies with high performance hardware, light and ergonomic casings, low cost parts and along with advanced information systems enable colour-blindness tests applying on them feasible. The aim of this thesis is to improve a novel colour-blindness tests which gives a detailed result about the colour that an individual cannot see besides just classifying whether the individual is colour-blind or not. With the benefits of the new test, it has been aimed to preclude that the flaws inflicted by colour plates commonly used and ambient light. All the results and demographic information gathered from the individuals have been properly stored for further studies and analyses. Additionally, the new test, developed as a computer-based test compared to conventional tests, became more portable, easier to use and has many advantageous over others especially when data storage and analysis capabilities are concerned. The new test has designed in four phase and all the phases have been applied on individuals. 111 individuals having colour vision deficiency and 137 individuals having normal colour vision have been participated to this thesis. In the name of just diagnosis if the individual is colour blind, the new test has achieved 100% specify and 100% sensitivity. With the final phase of the new test, it has been enabled to diagnosis of an individual in a detailed way and reveal the colour deficiency of each individual in terms of colour tones besides just classifying if the individual is colour blind. Furthermore, a fuzzy logic algorithm has been used to determine if the individuals has colour vision deficiency.

Author

Dr. Murat Işık

How to Cite

Murat Işık (Doctorate thesis). A new software for diagnostics of color-blindness, 2017, Sakarya University.

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