基于多特征的口腔正畸图像检索的研究  

A Research of Orthodontics Image Retrieval Based on Multi-feature

作　　者：王媛媛[1] 

机构地区：[1]江苏科技大学计算机科学与工程学院,镇江212003

出　　处：《科学技术与工程》2010年第24期5911-5914,共4页Science Technology and Engineering

摘　　要：基于内容的图像检索技术一直是图像检索领域的研究热点,但单一的底层特征检索效果往往比较差。针对口腔正畸领域中的图像,采用一种多特征融合的图像检索方法,医生通过检索出的相似图像找到正畸病患的诊断信息,进而提高诊断效率。此检索方法的基本思想是采用累计直方图结合空间信息的方式来提取颜色特征;用Canny算子与Ostu阈值分割法相结合的方法进行图像分割,进而提取七个不变矩;最后,将颜色特征分量与形状特征分量相结合来实现基于多特征的图像检索。实验结果表明,基于多特征的检索方法对于口腔正畸图像有更好的检索效果。Content-based image retrieval technology has been a hot spot for a long time, but the effect of retrieval based on a single bottom feature is very poor. A method based on multi-feature for orthodontics images is brought up, doctors could find out the patients＇ diagnosis information according to some similar images. The basic theory is to extract color feature by combining the cumulative histograms and spatial information, achieving image segmentation by combining Canny operator and Ostu threshold method, and then extracting seven rectangular tures. Finally image retrieval based on multi-feature by combining color component and shape component out. The results of tests show that this method has a better effect for orthodontics images.

关 键 词：图像检索 累计直方图 图像分割 形状不变矩 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]