计算机应用与软件2016，Vol.33Issue(10)：162-166,5.DOI:10.3969/j.issn.1000-386x.2016.10.036
基于 Gabor 小波变换的舌苔腐腻识别
RECOGNITION OF GREASY OR CURDY TONGUE COATING BASED ON GABOR WAVELET TRANSFORMATION
摘要
Abstract
Tongue diagnosis is one of the most important parts in “diagnosing by inspection”of TCM,through observing tongue coating it is able to understand the changes in human physiology and thereby to analyse the illness.Currently the reports in regard to the computer-based greasy and curdy tongue coating recognition are few.In this paper we propose a Gabor wavelet transformation-based greasy or curdy tongue coating recognition method.Considering the integrity of tongue signs and the different textures in greasy or curdy tongue coating,proceeding from the perspective of texture we apply Gabor wavelet transformation on whole tongue signs,and propose an edge weakening approach aimed at the problem that the edge detection effect of Gabor wavelet transformation weakens the texture description.On this basis we extracted the mean and standard deviation as the texture features to carry out classified recognition on normal,greasy and curdy tongue coatings. Experimental results showed that the average accuracy of the improved feature classification reached 91%,this verified the method to be effective in recognising greasy or curdy tongue coating.关键词
舌苔腐腻/Gabor小波变换/纹理分析/弱化边缘Key words
Greasy or curdy tongue coating/Gabor wavelet transform/Texture analysis/Edge weakening分类
信息技术与安全科学引用本文复制引用
瞿婷婷,夏春明,王忆勤,朱穆朗玛..基于 Gabor 小波变换的舌苔腐腻识别[J].计算机应用与软件,2016,33(10):162-166,5.基金项目
国家自然科学基金项目（81173199）；上海市科委技术标准专项项目（14DZ0500400）。 （）
