Modification of indistinguishable colors based on personal characteristic model for people with color defective vision
| Project/Area Number |
22700578
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Rehabilitation science/Welfare engineering
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| Research Institution | Okayama Prefectural University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
MITSUKURA Yasue 慶應義塾大学, 理工学部, 准教授 (60314845)
ITO Shin-ichi 徳島大学, 工学部, 助教 (90547655)
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | バリアフリー / 色覚特性 / 画像処理 / 表色系変換 / 色覚バリアフリー |
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| Research Abstract |
Compared to people with normal color vision, people with color vision deficiency(CVD) have difficulty in distinguishing between certain combinations of colors. To address this problem, we modify saturation components of the original image to preserve visual detail when perceived by people with CVD. The proposed method can automatically construct a transformation to maintain details for people with CVD while preserving naturalness for normal viewers. In addition, high-speed processing of re-coloring is achieved by clustering based on color quantization using the median cut algorithm. On the other hand, to classify type of vision disability, we implemented the farnsworth-munsell D-15 test to a mobile device with android OS. Finally, in order to show the effectiveness of the proposed system, we performed evaluational experiments. In addition, we proposed automatic image segmentation by using the maximum distance algorithm for an image which has indistinguishable colors.
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Report
(3 results)
Research Products
(5 results)
