This books (Face Reading in Chinese Medicine, 2e [PDF]) Made by Lillian Bridges About Books none To Download Please Click. Face Reading in Classical Chinese Medicine - Download as PDF File .pdf), Text File .txt) or view presentation slides online. Face Reading in Classical. Emotions are fiery by nature, as they require both Shen and the strength of the Heart to ex- press them. When emotions are repressed and/or become toxic, they .
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Mar 1, Books Download Face Reading in Chinese Medicine (PDF, ePub, Mobi) by Lillian Bridges Free Complete eBooks. Mountainous Features are those with bone: Forehead, Nose, Cheekbones and Jaw. • River Features are those associated with fluids that exude: Ears. An exciting new, full-colour edition of Face Reading in Chinese Medicine featuring over colour photographs and practical instructions on how to conduct a.
Received Jan 25; Accepted Feb This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article has been cited by other articles in PMC. However, due to its qualitative and experience-based subjective property, traditional facial diagnosis has a certain limitation in clinical medicine. The computerized inspection method provides classification models to recognize facial complexion including color and gloss. However, the previous works only study the classification problems of facial complexion, which is considered as qualitative analysis in our perspective. For quantitative analysis expectation, the severity or degree of facial complexion has not been reported yet.
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Tratamenterapii-manuale Fizioterapie. Maroun Abi Assaf. Luis Fernando Vasconcelos. Carleta Stan. We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit. If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website. Thanks in advance for your time.
Skip to content. Search for books, journals or webpages All Webpages Books Journals. Lillian Bridges. Hardcover ISBN: Churchill Livingstone. Published Date: Free Shipping Free global shipping No minimum order. The texture features are firstly applied to their facial diagnosis system.
For the facial gloss analysis, Zhang et al. Another main work for gloss classification is carried out using feature dimensionality reduction techniques [ 15 ]. However, some of the above works share several problems as follows.
Adoptive dominant color as in [ 1 , 13 ] is strongly depending on greater numbers of clusters which may be encountered failure to represent the morbid color in two cases: one case is the incorrect location of facial region that can derive biased dominant color; another is patients whose disease status is considered as mild, which will give rise to the facial morbid color slightly and inapparently.
And, finally, it will extract inaccurate dominant color. One proposed way may overcome these problems as given in [ 14 ], but it is impractical to extract the basic skin color of upper arm for all the subjects. Only local and a few small facial regions used for the whole facial complexion diagnosis including both color and gloss may be difficult to reflect the general facial complexion; it also goes against the TCM overall facial observation theory.
As mentioned in [ 1 ], the color of different facial regions on one's skin may be judged inconsistently even by the same TCM expert. But, using more or large facial regions might tend to approach general facial complexion and then would achieve better representation of one's overall facial complexion. In [ 14 ], 15 facial regions corresponding to TCM complexion-viscera are used as recognition samples, resulting in good facial color recognition accuracy.
Although the facial region numbers may be large enough, the feature points' location algorithm still falls into complication. The most important issue is that all the above literatures are essentially qualitative analysis, which only aims to classify the facial complexions or diseases into their respective categories.
But yet, in another sense, the severity of disease or the degree of complexion has not been studied as ever e. To alleviate those discussed issues, we develop a novel framework for six facial colors diagnosis, which is built with four chromaticity bases and luminance distribution based on patients' whole face. Although it is mainly designed for facial color diagnosis, it also could be applied to the quantitative analysis for facial complexion involving color and gloss degrees.
On one hand, these developed four chromaticity bases are related to four facial colors normal, redden, bluish, and yellow colors and would be generated from the respective facial color gamut clustering. Those bases are still considered to be the dominant colors of facial skin but are achieved by means of two steps of fuzzy clustering.
With this process, we can obtain more reliable dominant color compared with the works [ 1 , 13 ]. Moreover, the luminance distribution would split up all chromaticity bases down into certain subbases for better representing the degree of luminosity gradient of our chromaticity bases. With the separated chromaticity subbases, the derived feature representation for the remaining two facial colors pale and darkish colors could be more distinctive to discriminate between the other four colors than the previous approach [ 2 ], which is basically constructed without considering the effect of luminance distribution on the facial color diagnosis.
On the other hand, not as some previous studies used to do, we would not expect to segment the patient' face image into specified facial regions but to extract one's whole skin color as holistic representation. That is to say, the region segmentation procedure as done by the previous studies [ 1 , 2 , 12 — 14 ] could be bypassed in our framework.
Nevertheless, for the improvement of classification performance, we also find that the combination of locally weighted region and global representation could achieve more significant improvement than only the local or global approaches. In this regard, facial color distribution would be reliably estimated using our well-established holistic facial complexion representation.
This might be more in accordance with TCM overall concept and diagnosis in practice. Furthermore, it would be possible to analyze both qualitative and quantitative issues through our proposed framework. The remainder of the paper is organized as follows.
Section 2 describes the novel facial complexion feature representation and how it is applied to quantitative analysis for both color and gloss degrees. Extensive experimental results and several improvements of the color classification are presented in Section 3. Finally, Section 4 draws some conclusions and future directions. Methods This section gives detailed descriptions of our developed facial complexion diagnosis chain, which is briefly summarized in Figure 1.