摘要
基于视觉点特征的图像检索是图像检索(Content Based Image Retrieval,简称CBIR)的一个子集,指利用图像中对图像的内容有显著影响的一些点特征对图像进行查询,试图在理解图像内容的基础上,检索出与示例相类似的图像。目前,CBIR技术在商标查询、罪犯比对等领域有着很重要的应用。本文主要集中在对图像的感兴趣点特征提取技术上,针对边缘方向直方图法存在的问题,提出一种基于Canny边缘提取及轮廓序列矩法,首先对图像进行预处理,然后采用Canny边缘提取方法提取图像的轮廓,最后,将该轮廓的3个矩作为最后的特征向量进行检索。实验证明,提出的算法检索效果较好。
At present,Content Based points Retrieval is a subset of the CBIR. It tries to inquiry the trademarks similar to the sample image, based on the comprehension of image contents. CBLR in trademark has wide prospect in the stage of similar or same trademarks examination,even in the field of trademarks inquiry. This paper does mainly research on the extracting of the points characters and counting the similarity in images. Firstly, the image shape is extracted by Canny algorithm, then, the moments are introduced to image retrieval. Experiments show that the proved method has effective performance.
出处
《计算机科学》
CSCD
北大核心
2013年第06A期196-198,共3页
Computer Science
基金
教育部科学技术研究重点项目(210128)资助
关键词
图像检索
边缘方向直方图
不变矩
轮廓序列矩
Image retrieval, Edge directions histogram, Invariant moments, Contour sequence moments
