Improved Filter Designs Using Image Processing Techniques for Color Vision Deficiency (CVD) Types

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Publicado en:Symmetry vol. 17, no. 7 (2025), p. 1046-1074
Autor principal: Akalın Fatma
Otros Autores: Aksoy, Nilgün Özkan, Top Dilara, Kara Esma
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MDPI AG
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022 |a 2073-8994 
024 7 |a 10.3390/sym17071046  |2 doi 
035 |a 3233254038 
045 2 |b d20250101  |b d20251231 
084 |a 231635  |2 nlm 
100 1 |a Akalın Fatma  |u Department of Information Systems Engineering, Faculty of Computer and Information Sciences, Sakarya University, 54187 Sakarya, Turkey 
245 1 |a Improved Filter Designs Using Image Processing Techniques for Color Vision Deficiency (CVD) Types 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a The eye is one of our five sense organs, where optical and neural structures are integrated. It works in synchrony with the brain, enabling the formation of meaningful images. However, lack of function, complete absence or structural abnormalities of cone cells in the cone cells in the retina causes the emergence of types of Color Vision Deficiency (CVD). This deficiency is characterized by the lack of clear vision in the use of colors in the same region of the spectrum, and greatly affects the quality of life of the patient. Therefore, it is important to develop filters that enable colors to be combined successfully. In this study, an original filter design was improved, built on a five-stage systematic structure that complements and supports itself. But optimization regarding performance value needs to be tested with objective methods independent of human decision. Therefore, in order to provide performance analyses based on objective evaluation criteria, original and enhanced images simulated by patients with seven different Color Vision Deficiency (CVD) types were classified with the MobileNet transfer learning model. The classification results show that the developed final filter greatly improves the differences in color perception levels in both eyes. Thus, color stimulation between the two eyes is more balanced, and perceptual symmetry is created. With perceptual symmetry, environmental colors are perceived more consistently and distinguishably, and the visual difficulties encountered by color blind individuals in daily life are reduced. 
653 |a Color vision 
653 |a Sensory stimulation 
653 |a Abnormalities 
653 |a Diabetes 
653 |a Accuracy 
653 |a Deep learning 
653 |a Success 
653 |a Image filters 
653 |a Neural networks 
653 |a Medical imaging 
653 |a Classification 
653 |a Sense organs 
653 |a Filter design (mathematics) 
653 |a Eye diseases 
653 |a Algorithms 
653 |a Visual perception 
653 |a Eye (anatomy) 
653 |a Image processing 
653 |a Symmetry 
653 |a Morphology 
700 1 |a Aksoy, Nilgün Özkan  |u Department of Ophthalmology, Sakarya University Medical Education and Research Hospital, 54290 Sakarya, Turkey; naksoy@sakarya.edu.tr 
700 1 |a Top Dilara  |u Department of Information Systems Engineering, Faculty of Computer and Information Sciences, Sakarya University, 54187 Sakarya, Turkey 
700 1 |a Kara Esma  |u Department of Information Systems Engineering, Faculty of Computer and Information Sciences, Sakarya University, 54187 Sakarya, Turkey 
773 0 |t Symmetry  |g vol. 17, no. 7 (2025), p. 1046-1074 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3233254038/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3233254038/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3233254038/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch