摘要
舌质、舌苔的自动分类识别是中医舌诊客观化的重要内容。针对6种常见的舌质、舌苔类型,基于其不同的颜色特征实现分类。舌象采集过程中,多种因素会引起图像颜色偏差,采用多项式回归的方法实现颜色校正。采用内积阈值和颜色聚类两种方法实现了舌体的分割,保留舌质、舌苔有效信息。最后针对舌象分类自身的特点,引入权值改进算法模型,使分类准确率得到了明显的提升。
Automatic classification of tongue body and tongue coating is one of the important contents of the tongue diagnosis. Six kinds of common tongue body and tongue coating are classified based on their different color characteristics. Color correction is achieved by polynomial regression,at the same time,tongue segmentation is achieved by inner product threshold and color clustering. K-nearest neighbor with different weight is introduced to improve the accuracy of classification.
出处
《微型机与应用》
2017年第17期102-105,共4页
Microcomputer & Its Applications
关键词
颜色校正
图像分割
分类
舌诊
color correction
image segmentation
classification
tongue diagnosis
