scholarly journals Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Liyan Chen ◽  
Beizhan Wang ◽  
Zhihong Zhang ◽  
Fan Lin ◽  
Yihan Ma
Keyword(s):  
Traditional Medicine ◽  
Detection Rate ◽  
Texture Features ◽  
Experimental Results ◽  
Chinese Traditional Medicine ◽  
Image Information ◽  
Novel Approach ◽  
Single Feature ◽  
Main Color ◽  
Tongue Color

Tongue diagnosis is one of the important methods in the Chinese traditional medicine. Doctors can judge the disease’s situation by observing patient’s tongue color and texture. This paper presents a novel approach to extract color and texture features of tongue images. First, we use improved GLA (Generalized Lloyd Algorithm) to extract the main color of tongue image. Considering that the color feature cannot fully express tongue image information, the paper analyzes tongue edge’s texture features and proposes an algorithm to extract them. Then, we integrate the two features in retrieval by different weight. Experimental results show that the proposed method can improve the detection rate of lesion in tongue image relative to single feature retrieval.

An Improved Tracking Algorithm Combing Color and LBP Texture Features Based on Particle Filter

2013 ◽  
Vol 385-386 ◽  
pp. 1484-1487
Author(s):  
En Zeng Dong ◽  
Li Ya Su ◽  
Yan Hong Fu
Keyword(s):  
Particle Filter ◽  
Object Tracking ◽  
Reference Model ◽  
Texture Features ◽  
Tracking Algorithm ◽  
Color Histogram ◽  
Experimental Results ◽  
Single Feature ◽  
Highly Effective

In this paper, an tracking algorithm combing color and LBP texture features based on particle filter is proposed to overcome the disadvantages of existing particle filter object tracking methods. A color histogram and a texture histogram were combined to build the objects reference model, effectively improving the accuracy of object tracking. Experimental results demonstrate that, compared with the method based on single feature, the proposed method is highly effective, valid and is practicable.

Mining discriminative patches for script identification in natural scene images

2021 ◽  
Vol 40 (1) ◽  
pp. 551-563
Author(s):  
Liqiong Lu ◽  
Dong Wu ◽  
Ziwei Tang ◽  
Yaohua Yi ◽  
Faliang Huang
Keyword(s):  
Neural Networks ◽  
Experimental Results ◽  
The Other ◽  
Natural Scene ◽  
Fixed Size ◽  
Script Identification ◽  
Aspect Ratios ◽  
Novel Approach ◽  
Public Datasets ◽  
Natural Scene Images

This paper focuses on script identification in natural scene images. Traditional CNNs (Convolution Neural Networks) cannot solve this problem perfectly for two reasons: one is the arbitrary aspect ratios of scene images which bring much difficulty to traditional CNNs with a fixed size image as the input. And the other is that some scripts with minor differences are easily confused because they share a subset of characters with the same shapes. We propose a novel approach combing Score CNN, Attention CNN and patches. Attention CNN is utilized to determine whether a patch is a discriminative patch and calculate the contribution weight of the discriminative patch to script identification of the whole image. Score CNN uses a discriminative patch as input and predict the score of each script type. Firstly patches with the same size are extracted from the scene images. Secondly these patches are used as inputs to Score CNN and Attention CNN to train two patch-level classifiers. Finally, the results of multiple discriminative patches extracted from the same image via the above two classifiers are fused to obtain the script type of this image. Using patches with the same size as inputs to CNN can avoid the problems caused by arbitrary aspect ratios of scene images. The trained classifiers can mine discriminative patches to accurately identify some confusing scripts. The experimental results show the good performance of our approach on four public datasets.

scholarly journals A comparison of health communication effectiveness and the improvement of management strategies: taking two Chinese traditional medicine hospitals’ WeChat public accounts as examples

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jie Wang ◽  
Lanting Wu
Keyword(s):  
Public Health ◽  
Social Media ◽  
Health Communication ◽  
Traditional Medicine ◽  
Health Knowledge ◽  
Health Care Service ◽  
Mobile Internet ◽  
Chinese Traditional Medicine ◽  
Public Account ◽  
Significant Difference

Abstract Background In the light of “Internet plus”, hospitals are following the trend of using mobile internet and adopting a strategy of spreading public health knowledge through mobile terminals. WeChat is a social media with the largest number of users in China. Its public account has become the most popular service among the public. Methods We examine the health communication of medical institutions on social media platforms. The WeChat public accounts of Zhejiang Provincial Chinese Traditional Medicine Hospital and Jiangxi Provincial Chinese Traditional Medicine Hospital were taken as cases to measure the communication effect from the following dimensions: update interval, content positioning and design, numbers of clicks and likes as well as topic types. Results The update interval of WeChat public account of Jiangxi Provincial Hospital of Traditional Chinese Medicine was regular, compared with that of the other hospital. The accounts of the two hospitals both set up special sections to facilitate patients to obtain medical services online. There is an extremely significant difference between the two hospitals’ mean numbers of clicks (p < 0. 001), compared with no significant difference between their mean numbers of likes. One-way analysis of variance suggests the type of topic on posts is significantly correlated with the number of clicks. Moreover, there is an extremely significant difference between public health knowledge and news propaganda. Conclusion The development of hospitals’ WeChat public accounts can promote people’s health and equity in accessing medical information and service, and also boost “Internet plus health care” service. The topic type of hospital’s news publicity is paid a relatively lower attention by users. Therefore, hospitals’ WeChat public accounts need to adjust their strategy from propaganda-oriented to users-centered, with topic planning and posts designed to fulfill users’ needs.

scholarly journals Effects of kamikihi-to, a Chinese traditional medicine, on various cholinergic biochemical markers in the brains of aged rats.

1991 ◽  
Vol 98 (4) ◽  
pp. 273-281 ◽  
Author(s):  
Toru EGASHIRA ◽  
Shinji SUDO ◽  
Fumie MURAYAMA ◽  
Toshiro KONO ◽  
Yoshikuni KUDO ◽  
...  
Keyword(s):  
Traditional Medicine ◽  
Biochemical Markers ◽  
Chinese Traditional Medicine ◽  
Aged Rats

Revealing the nanodomain structure of silicon oxycarbide via preferential etching and pore analysis

2016 ◽  
Vol 09 (03) ◽  
pp. 1650043 ◽  
Author(s):  
Haolin Wu ◽  
Jie Yang ◽  
Haibiao Chen ◽  
Feng Pan
Keyword(s):  
Porous Structure ◽  
Gas Adsorption ◽  
Inverse Image ◽  
Silicon Oxycarbide ◽  
Experimental Results ◽  
Porous Network ◽  
Pore Analysis ◽  
Novel Approach ◽  
Nanodomain Structure ◽  
Nanocomposite Structures

Preferentially etching either carbon or silica from silicon oxycarbide (SiOC) created a porous network as an inverse image of the removed phase. The porous structure was analyzed by gas adsorption, and the experimental results verified the nanodomain structure of SiOC. This work demonstrated a novel approach for analyzing materials containing nanocomposite structures.

PHARMACOGNOSTICAL EVALUATION OF JUSTICIA GENDARUSSA BURM.

INDIAN DRUGS ◽  
2012 ◽  
Vol 49 (06) ◽  
pp. 18-22
Author(s):  
◽  
K. L. Krishna ◽  
K. Mruthunjaya
Keyword(s):  
Moisture Content ◽  
Qualitative Analysis ◽  
Traditional Medicine ◽  
Muscle Pain ◽  
Chinese Traditional Medicine ◽  
Foreign Matter ◽  
Respiratory Disorders ◽  
Evergreen Shrub

Justicia gendarussa (JG) is a shade-loving, quick-growing, evergreen shrub mostly found in moist areas,which grows along the beds of streams in the Himalayas. In Indian and Chinese traditional medicine,the leaf of the plant is recommended to treat ailments such as fever, hemiplegia, rheumatism, arthritis, headache, earache, muscle pain, respiratory disorders and digestive trouble. The physicochemical and pharmacognostical evaluation was carried out according to the official methods mentioned in The Ayurvedic Pharmacopoeia of India. The parameters such as foreign matter, ash value, moisture content were determined. Qualitative analysis of different phytochemicals present in the plant was done and powder microscopical characters were recorded. The microscopical feature of leaf of Justicia gendarussais reported. In the study, an attempt is made to fix the standards for Justicia gendarussa, which can be utilised in identification and authentification of purity of the plant.

scholarly journals Activation of apoptosis in hepatocellular carcinoma by the Chinese traditional medicine Hu Qisan

2012 ◽  
Vol 5 (3) ◽  
pp. 695-700 ◽  
Author(s):  
XIANGJUN ZENG ◽  
XIANGLI LI ◽  
XIAOWEI XUE ◽  
ZHENG-MING SHI ◽  
PING FENG ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Traditional Medicine ◽  
Chinese Traditional Medicine
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