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RGB Color Cluster Re-Coloring Algorithm for Partial Color-Blind People

Utama D.Q.a, Mengko T.L.R.a, Mengko R.a, Gandasubrata A.P.b, Azhar T.N.c

a Biomedical Engineering Department, STEI, Institut Teknologi Bandung, Bandung, Indonesia
b Medicine Faculty, Universitas Padjajaran, RS Mata Cicendo, Bandung, Indonesia
c Medical Faculty, Universitas Islam Bandung, Bandung, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.Color blindness is a condition that affects 8% of men and 0.5% of women in the world. It make the sufferer cannot distinguish some color so the sufferer cannot gain information from color sensitive information. Various methods already been proposed to help people with color blindness to be able to see the color, but most methods are still bring same and universal solution to all the patient and not unique for every individual color blindness patient although every sufferer has a different ability to see colors. This research offer methods to help people with partial color blindness to recognize the colors by utilizing the RGB color distance formula from cone cell color cluster. The color distance formula is unique for every people and it used for doing the recoloring process. The method offered is successfully produces a unique re-coloring result for every single partial color blindness subject that we tested to distinguish the color depend on the ability of their cone cell in differentiate the color.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Assistive technology,Color test,Color-blind people,Coloring algorithms,Distance formula,Gain information,Sensitive informations,Universal solutions[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]assistive technology,color blindness,color test,computer vision,eye,test. cluster[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICICI-BME.2017.8537778[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]