Abstract
Devices for processing and capturing images have grown a lot. Softwares are increasingly complex, making processing with great accuracy being used in many areas of activity. Database acquisition systems are designed to store information of any kind (signal or image). In the field of Ophthalmology, these image capturing and processing devices help determine the patient’s individual parameters for glasses’ construction in order to provide comfort and clarity of vision. Investigating the functioning of the visual system, analyzing of the results, highlighting the problems, recommending the methods and means of improving the functioning, in order to achieve visual comfort in relation to the needs of the subject represents the science called Ophthalmic Optometry. In recent years, optometry has developed more, considering the individual as an integral part of the living environment, analyzing the performance and visual problems daily, depending on the work developed during a day. The maximum visual performance achieved by a patient is due to the measuring methods and means of the optometric parameters. Existing devices help both in detecting eye diseases, but also in measuring individual parameters necessary for a clear and comfortable view. All of these things depend on capturing and processing images with special devices and software. The paper presents such a software – Eye Fit, which is able to run the received data and have all measurements of patient’s parameters and frame chosen in order to build an ultra-personalized progressive lens after measurements are performed with a tablet device that includes this specially designed software.
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Baboianu, G., Nitu, C., Comeaga, C.D. (2020). Processing of Captured Digital Images for Measuring the Optometric Parameters Required in the Construction of Ultra-personalized Special Lenses. In: Gheorghe, G. (eds) Proceedings of the International Conference of Mechatronics and Cyber-MixMechatronics – 2019. ICOMECYME 2019. Lecture Notes in Networks and Systems, vol 85. Springer, Cham. https://doi.org/10.1007/978-3-030-26991-3_19
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DOI: https://doi.org/10.1007/978-3-030-26991-3_19
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