CAJ | 학술논문

本文应用计算机图像识别研究中医舌诊的客观化，把舌像划分成3636的舌像特征块(TTB)以分析局部纹理特征，提出了对每个小块分析彩色与纹理特征的两种算法，用CIE L*u*v*彩色空间模式的分层K-means聚类方法确定色彩类，用Gabor滤波器彩色对比特征与线性判断函数分析舌像纹理特征。文中的试验表明：这些方法在判断舌像时有较强的分辨力。
본문응용계산궤도상식별연구중의설진적객관화，파설상화분성3636적설상특정괴(TTB)이분석국부문리특정，제출료대매개소괴분석채색여문리특정적량충산법，용CIE L*u*v*채색공간모식적분층K-means취류방법학정색채류，용Gabor려파기채색대비특정여선성판단함수분석설상문리특정。문중적시험표명：저사방법재판단설상시유교강적분변력。
This paper addressed the standardization of tongue diagnosis using image processing approach. To analyze the tongue features locally, a tongue image is divided into a number of blocks with size 36*36. Two algorithms are developed to analyze the color and texture features of each block. A hierarchical K-means clustering algorithm in CIE L*u*v* color space is developed to determine the color cluster. Tongue textures are analyzed using Gabor wavelet opponent color features and the linear discriminant analysis. 121 tongue images are used to test the proposed algorithms and the results are encouraging.