基于均值漂移的舌体分割算法

本文针对舌体图像的特点,提出了一种基于均值漂移的舌体图像分割算法。该算法首先对输入图像进行平滑,可有效消除舌苔裂纹和色块噪声对舌体分割的干扰,然后根据空域和值域的邻近性原则进行聚类,根据聚类结果对舌体图像进行分割。实验结果表明,对不同的舌体图像进行分割,分割结果符合中医医师的诊断要求,对有噪声的图像,该方法也可较好地实现舌体分割。

Mean shift based medical image tongue segmentation algorithm

We propose a mean shift based tongue segmentation algorithm for the characteristics of a tongue image.It initially smooths an input tongue image by mean shift method,which can effectively suppress the interference of tongue crackle and color block noise on tongue segmentation.It then implements a clustering process based on color domain and space domain proximity.A tongue image is segmented according to the clustering result.Experimental results show that segmentation results of different tongue images satisfy the diagnosis requirements of a traditional Chinese medicine （TCM） doctor.The algorithm can better implement tongue segmentation for a noise blended image.