Computational tongue color simulation in tongue diagnosis
Tongue color is one of the important indices for tongue diagnosis in traditional Chinese medicine. This study aims to analyze tongue colors of computational tongue diagnosis in traditional Chinese medicine using scientific quantification and computational simulation. The tongue color data are establ...
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Veröffentlicht in: | Color research and application 2022-02, Vol.47 (1), p.121-134 |
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creator | Chen, Hung‐Shing Chen, Shih‐Ming Jiang, Chen‐Yu Zhang, Yi‐Chen Lin, Chia‐Yu Lin, Chia‐En Lee, Jen‐Ai |
description | Tongue color is one of the important indices for tongue diagnosis in traditional Chinese medicine. This study aims to analyze tongue colors of computational tongue diagnosis in traditional Chinese medicine using scientific quantification and computational simulation. The tongue color data are established according to the experiment in which the doctors who use Chinese traditional medicine assessed standard Munsell color charts under the standard lighting environment. Tongue color is classified into six color names, which are pale red, light red, red, crimson, dark red, and purple. The doctors assessed Munsell color charts to find the corresponding color charts' distributions of each color name in tongue color. The hue‐lightness‐chroma data of the chosen Munsell color charts were transformed to CIE xyY using the look‐up table computation, then further were converted to CIELAB values and sRGB data. Based on the 95% confidence ellipses formed on CIELAB (a*, b*) plane and CIELAB (C*, L*) plane, the comparisons between tongue colors and general colors were analyzed. The computational tongue image simulation combining the elements of color, texture, and moisture was successfully established. This computational simulation method could potentially become a useful tool for teaching and learning diagnoses in the education of Chinese medicine. |
doi_str_mv | 10.1002/col.22717 |
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This study aims to analyze tongue colors of computational tongue diagnosis in traditional Chinese medicine using scientific quantification and computational simulation. The tongue color data are established according to the experiment in which the doctors who use Chinese traditional medicine assessed standard Munsell color charts under the standard lighting environment. Tongue color is classified into six color names, which are pale red, light red, red, crimson, dark red, and purple. The doctors assessed Munsell color charts to find the corresponding color charts' distributions of each color name in tongue color. The hue‐lightness‐chroma data of the chosen Munsell color charts were transformed to CIE xyY using the look‐up table computation, then further were converted to CIELAB values and sRGB data. Based on the 95% confidence ellipses formed on CIELAB (a*, b*) plane and CIELAB (C*, L*) plane, the comparisons between tongue colors and general colors were analyzed. The computational tongue image simulation combining the elements of color, texture, and moisture was successfully established. This computational simulation method could potentially become a useful tool for teaching and learning diagnoses in the education of Chinese medicine.</description><identifier>ISSN: 0361-2317</identifier><identifier>EISSN: 1520-6378</identifier><identifier>DOI: 10.1002/col.22717</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Charts ; Chinese medicine ; Color ; computational tongue appearance simulation ; computational tongue diagnosis ; Diagnosis ; Simulation ; Tongue ; tongue color ; Traditional Chinese medicine</subject><ispartof>Color research and application, 2022-02, Vol.47 (1), p.121-134</ispartof><rights>2021 Wiley Periodicals LLC.</rights><rights>2022 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2977-2ae03548bf0601b6694db96266daf3cea0b2565e3b597cce6064d1d6f2d515a43</citedby><cites>FETCH-LOGICAL-c2977-2ae03548bf0601b6694db96266daf3cea0b2565e3b597cce6064d1d6f2d515a43</cites><orcidid>0000-0002-3135-6494</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcol.22717$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcol.22717$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Chen, Hung‐Shing</creatorcontrib><creatorcontrib>Chen, Shih‐Ming</creatorcontrib><creatorcontrib>Jiang, Chen‐Yu</creatorcontrib><creatorcontrib>Zhang, Yi‐Chen</creatorcontrib><creatorcontrib>Lin, Chia‐Yu</creatorcontrib><creatorcontrib>Lin, Chia‐En</creatorcontrib><creatorcontrib>Lee, Jen‐Ai</creatorcontrib><title>Computational tongue color simulation in tongue diagnosis</title><title>Color research and application</title><description>Tongue color is one of the important indices for tongue diagnosis in traditional Chinese medicine. This study aims to analyze tongue colors of computational tongue diagnosis in traditional Chinese medicine using scientific quantification and computational simulation. The tongue color data are established according to the experiment in which the doctors who use Chinese traditional medicine assessed standard Munsell color charts under the standard lighting environment. Tongue color is classified into six color names, which are pale red, light red, red, crimson, dark red, and purple. The doctors assessed Munsell color charts to find the corresponding color charts' distributions of each color name in tongue color. The hue‐lightness‐chroma data of the chosen Munsell color charts were transformed to CIE xyY using the look‐up table computation, then further were converted to CIELAB values and sRGB data. Based on the 95% confidence ellipses formed on CIELAB (a*, b*) plane and CIELAB (C*, L*) plane, the comparisons between tongue colors and general colors were analyzed. The computational tongue image simulation combining the elements of color, texture, and moisture was successfully established. This computational simulation method could potentially become a useful tool for teaching and learning diagnoses in the education of Chinese medicine.</description><subject>Charts</subject><subject>Chinese medicine</subject><subject>Color</subject><subject>computational tongue appearance simulation</subject><subject>computational tongue diagnosis</subject><subject>Diagnosis</subject><subject>Simulation</subject><subject>Tongue</subject><subject>tongue color</subject><subject>Traditional Chinese medicine</subject><issn>0361-2317</issn><issn>1520-6378</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kM1OwzAQhC0EEqVw4A0iceIQul7H6-SIIv6kSr3A2XISp3KVxsVOhPr2hAaOnOYw3452hrFbDg8cAFe17x4QFVdnbMElQkpC5edsAYJ4ioKrS3YV4w4ApMjVghWl3x_GwQzO96ZLBt9vR5tMKT4k0e3H7uQkrv-zGme2vY8uXrOL1nTR3vzqkn08P72Xr-l68_JWPq7TGgulUjQWhMzyqgUCXhEVWVMVhESNaUVtDVQoSVpRyULVtSWgrOENtdhILk0mluxuzj0E_znaOOidH8P0bNRIPEdEnvOJup-pOvgYg231Ibi9CUfNQf8so6dO-rTMxK5m9st19vg_qMvNer74BsTWZGY</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Chen, Hung‐Shing</creator><creator>Chen, Shih‐Ming</creator><creator>Jiang, Chen‐Yu</creator><creator>Zhang, Yi‐Chen</creator><creator>Lin, Chia‐Yu</creator><creator>Lin, Chia‐En</creator><creator>Lee, Jen‐Ai</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-3135-6494</orcidid></search><sort><creationdate>202202</creationdate><title>Computational tongue color simulation in tongue diagnosis</title><author>Chen, Hung‐Shing ; Chen, Shih‐Ming ; Jiang, Chen‐Yu ; Zhang, Yi‐Chen ; Lin, Chia‐Yu ; Lin, Chia‐En ; Lee, Jen‐Ai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2977-2ae03548bf0601b6694db96266daf3cea0b2565e3b597cce6064d1d6f2d515a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Charts</topic><topic>Chinese medicine</topic><topic>Color</topic><topic>computational tongue appearance simulation</topic><topic>computational tongue diagnosis</topic><topic>Diagnosis</topic><topic>Simulation</topic><topic>Tongue</topic><topic>tongue color</topic><topic>Traditional Chinese medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Hung‐Shing</creatorcontrib><creatorcontrib>Chen, Shih‐Ming</creatorcontrib><creatorcontrib>Jiang, Chen‐Yu</creatorcontrib><creatorcontrib>Zhang, Yi‐Chen</creatorcontrib><creatorcontrib>Lin, Chia‐Yu</creatorcontrib><creatorcontrib>Lin, Chia‐En</creatorcontrib><creatorcontrib>Lee, Jen‐Ai</creatorcontrib><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Color research and application</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Hung‐Shing</au><au>Chen, Shih‐Ming</au><au>Jiang, Chen‐Yu</au><au>Zhang, Yi‐Chen</au><au>Lin, Chia‐Yu</au><au>Lin, Chia‐En</au><au>Lee, Jen‐Ai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational tongue color simulation in tongue diagnosis</atitle><jtitle>Color research and application</jtitle><date>2022-02</date><risdate>2022</risdate><volume>47</volume><issue>1</issue><spage>121</spage><epage>134</epage><pages>121-134</pages><issn>0361-2317</issn><eissn>1520-6378</eissn><abstract>Tongue color is one of the important indices for tongue diagnosis in traditional Chinese medicine. This study aims to analyze tongue colors of computational tongue diagnosis in traditional Chinese medicine using scientific quantification and computational simulation. The tongue color data are established according to the experiment in which the doctors who use Chinese traditional medicine assessed standard Munsell color charts under the standard lighting environment. Tongue color is classified into six color names, which are pale red, light red, red, crimson, dark red, and purple. The doctors assessed Munsell color charts to find the corresponding color charts' distributions of each color name in tongue color. The hue‐lightness‐chroma data of the chosen Munsell color charts were transformed to CIE xyY using the look‐up table computation, then further were converted to CIELAB values and sRGB data. Based on the 95% confidence ellipses formed on CIELAB (a*, b*) plane and CIELAB (C*, L*) plane, the comparisons between tongue colors and general colors were analyzed. The computational tongue image simulation combining the elements of color, texture, and moisture was successfully established. This computational simulation method could potentially become a useful tool for teaching and learning diagnoses in the education of Chinese medicine.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/col.22717</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-3135-6494</orcidid></addata></record> |
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subjects | Charts Chinese medicine Color computational tongue appearance simulation computational tongue diagnosis Diagnosis Simulation Tongue tongue color Traditional Chinese medicine |
title | Computational tongue color simulation in tongue diagnosis |
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