Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicine
Simple fractal dimensions have been proposed for use in the analysis of the characteristics of digitized tongue pictures and tongue coating texture, which could further the establishment of objectified classification criteria under the conditions of expanding sample size. However, detailed descripti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2019-01-01
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| Series: | Computer Assisted Surgery |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/24699322.2018.1557890 |
| _version_ | 1818272892063842304 |
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| author | Ji Zhang Jun Qian Tao Yang Hai-yan Dong Rui-juan Wang |
| author_facet | Ji Zhang Jun Qian Tao Yang Hai-yan Dong Rui-juan Wang |
| author_sort | Ji Zhang |
| collection | DOAJ |
| description | Simple fractal dimensions have been proposed for use in the analysis of the characteristics of digitized tongue pictures and tongue coating texture, which could further the establishment of objectified classification criteria under the conditions of expanding sample size. However, detailed descriptions on simple fractal dimensions have been limited. Therefore, BP (back propagation) neural network model classifiers could be designed by further calculation of the multiple fractal spectrum characteristics of digitized tongue pictures in order to classify and recognize the thin/thick or greasy characteristics of tongue coating.The fractal dimensions of sample data of 587 digitized tongue pictures were collected in a standard environment. A statistical analysis was conducted on the calculation results of the sample data, and the sensitivity of the fractal dimensions to the thin/thick and greasy characteristics of digitized tongue pictures was observed. As the overlap region resulted from a range of values of a single parameter, another eight characteristic parameters of the multiple fractal spectra of the digitized tongue pictures were further proposed as the elements in the input layer of the three-layers BP neural network. Automatic recognition classifiers were designed and trained for the characteristics of digitized tongue pictures and tongue coating textures.The simple fractal dimension was sensitive to the thin/thick and greasy characteristics of digitized tongue pictures and could better judge the characteristics of the thickness of the tongue coating. A classifier with characteristic parameters of multiple fractal spectra as the input vectors identified by the BP neural network models could effectively increase the accuracy rate judged by the characteristics of the tongue coating texture. |
| first_indexed | 2024-12-12T21:49:17Z |
| format | Article |
| id | doaj.art-d011faaecd9544ec91692dd057782c24 |
| institution | Directory Open Access Journal |
| issn | 2469-9322 |
| language | English |
| last_indexed | 2024-12-12T21:49:17Z |
| publishDate | 2019-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Computer Assisted Surgery |
| spelling | doaj.art-d011faaecd9544ec91692dd057782c242022-12-22T00:10:50ZengTaylor & Francis GroupComputer Assisted Surgery2469-93222019-01-010011110.1080/24699322.2018.15578901557890Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicineJi Zhang0Jun Qian1Tao Yang2Hai-yan Dong3Rui-juan Wang4Nanjing University of Chinese MedicineNanjing University of Chinese MedicineNanjing University of Chinese MedicineNanjing University of Chinese MedicineNanjing University of Chinese MedicineSimple fractal dimensions have been proposed for use in the analysis of the characteristics of digitized tongue pictures and tongue coating texture, which could further the establishment of objectified classification criteria under the conditions of expanding sample size. However, detailed descriptions on simple fractal dimensions have been limited. Therefore, BP (back propagation) neural network model classifiers could be designed by further calculation of the multiple fractal spectrum characteristics of digitized tongue pictures in order to classify and recognize the thin/thick or greasy characteristics of tongue coating.The fractal dimensions of sample data of 587 digitized tongue pictures were collected in a standard environment. A statistical analysis was conducted on the calculation results of the sample data, and the sensitivity of the fractal dimensions to the thin/thick and greasy characteristics of digitized tongue pictures was observed. As the overlap region resulted from a range of values of a single parameter, another eight characteristic parameters of the multiple fractal spectra of the digitized tongue pictures were further proposed as the elements in the input layer of the three-layers BP neural network. Automatic recognition classifiers were designed and trained for the characteristics of digitized tongue pictures and tongue coating textures.The simple fractal dimension was sensitive to the thin/thick and greasy characteristics of digitized tongue pictures and could better judge the characteristics of the thickness of the tongue coating. A classifier with characteristic parameters of multiple fractal spectra as the input vectors identified by the BP neural network models could effectively increase the accuracy rate judged by the characteristics of the tongue coating texture.http://dx.doi.org/10.1080/24699322.2018.1557890Analysis of characteristics of tongue coating texturesfractal dimensionmultiple fractal spectrumclassification and recognition of characteristics |
| spellingShingle | Ji Zhang Jun Qian Tao Yang Hai-yan Dong Rui-juan Wang Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicine Computer Assisted Surgery Analysis of characteristics of tongue coating textures fractal dimension multiple fractal spectrum classification and recognition of characteristics |
| title | Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicine |
| title_full | Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicine |
| title_fullStr | Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicine |
| title_full_unstemmed | Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicine |
| title_short | Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicine |
| title_sort | analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional chinese medicine |
| topic | Analysis of characteristics of tongue coating textures fractal dimension multiple fractal spectrum classification and recognition of characteristics |
| url | http://dx.doi.org/10.1080/24699322.2018.1557890 |
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