Objectives: The iris is the part of the eye that is colored, and it is an important feature in making an artificial eye. To address the lack of information about the brown Korean irises, we classified the colors and patterns of the irises of 100 Korean eyes. Methods: The iris colors were extracted from 100 different digital photographs of each eye using K-mean clustering image analysis. The RGB data of the extracted colors were converted to CIELAB color space data and analyzed to determine the representative color of the iris in each photograph. The color differences were calculated to form groups of similar colors by matching the 100 samples into several groups with minimum color differences among them. The average hue value for each group was calculated, and the corresponding representative color was selected from 2 to 3 colors in one group. Results: The iris colors were classified into seven brown color groups with 2 to 3 colors in each group. The coloration of Koreans’ eyes appears to vary in a similar hue with differences in chroma and lightness. In addition, the iris patterns were classified into three basic patterns, namely, crown, sunshine, and flower, as well as three complex patterns that are mixtures of two basic patterns. Conclusions: We classified Korean iris colors and patterns for application in the design of artificial eyes.
|Number of pages||9|
|Journal||Healthcare Informatics Research|
|Publication status||Published - 2018 Jul|
Bibliographical noteFunding Information:
This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation of Korea funded by the Korean Government, Ministry of Science, ICT, and Future Planning (No. 2015M3A9E206703).
© 2018 The Korean Society of Medical Informatics.
All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Health Informatics
- Health Information Management