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基于颜色纹理的图像多特征检索技术在中医舌诊中的应用研究

诸薇娜1, 周昌乐2, 徐丹1, 许家佗3(1.云南大学信息学院计算机科学与工程系,昆明 650031;2.厦门大学信息学院计算机科学系,厦门 361005;3.复旦大学计算机科学与工程系,上海 200433)

摘 要
为了对传统的中医舌诊数字化提出新的方法,并实现通过计算机来进行舌像图像的分类检索,此文将一种结合了颜色和纹理特征的、基于内容的多特征图像检索算法引入到中医舌像的分析中。该算法将表现颜色和纹理的20个特征值作为表达图像内容特征的特征向量,并以此作为舌像检索的距离度量标准。实验结果证明这种算法不仅具有移动、旋转、尺度变换不变性,而且还具有优良的检索性能。因此,此算法可以很好的实现舌像图像的分类检索。
关键词
A Multi-feature CBIR Method on Color and Texture in the Traditional Chinese Medicine Tongue Diagnosis

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Abstract
In order to get new methods on the digitization of the traditional Chinese medicine(TCM) tongue diagnosis and classification and retrieval of tongue pictures,a new image retrieval method based on multi-feature(color and texture) is presented in this paper.The authors used a 20-dimension eigenvector including both color and texture as the whole(image's) features to retrieval the resembled tongue images.The experimental results are satisfactying,whicn shows that this method can be used in retrieval of tongue pictures successfully.
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